essay plagiarism checker chatgpt

Trusted GPT-4, ChatGPT and AI Detector tool by ZeroGPT

Zerogpt the most advanced and reliable chat gpt, gpt4 & ai content detector.

Simple and Credible Open AI and Gemini detector tool for Free

Highlighted Sentences

Every sentence written by AI is highlighted, with a gauge showing the percentage of AI inside the text

Batch Files Upload

Simply upload multiple files at once, and they will get checked automatically in the dashboard

High Accuracy Model

Advanced and premium model, trained on all languages to provide highly accurate results

Generated Report

Automatically generated .pdf reports for every detection, used as a proof of AI-Free plagiarism

Support All Languages

Support all the languages with the highest accuracy rate of detection

Multiple Features

Enjoy our Top-notch Paraphraser, Summarizer, Grammar checker, Translator, Writing Assistant…

Our team has developed a user-friendly API for organizations. Get API access

DeepAnalyse™ Technology

A pioneering research in the modeling of AI content detection Our AI detection model includes several components that analyze text to determine its origin and if it was written by AI. We use a multi-stage methodology designed to optimize accuracy while minimizing false positives and negatives. From the macro level to the micro one, this is how DeepAnalyse™ Technology works. Our model specializes in identifying AI generated content like Chat GPT, GPT 3, GPT 4, Gemini, LLaMa models … Finally, we employ a comprehensive deep learning methodology, trained on extensive text collections from the internet, educational datasets, and our proprietary synthetic AI datasets produced using various language models.

Use ZeroGPT in Whatsapp and Telegram

ZeroGPT is now available on WhatsApp and Telegram. Chat With ZeroGPT: Advanced ChatBot, Detect AI, Summarize, Paraphrase, Translate and Check for Grammar Errors… all these features available inside WhatsApp and Telegram.

Fix grammar and spelling mistakes, detect AI plagiarism, check for plagiarism, generate citations, advanced word counter, powerful summarizer and paraphraser

Your questions, answered

Check our blog created with the help of ai.

More than an AI detector Preserve What's Human

Since inventing AI detection, GPTZero incorporates the latest research in detecting ChatGPT, GPT4, Google-Gemini, LLaMa, and new AI models, and investigating their sources.

Was this text written by a human or AI ?

The most precise, reliable AI detection results on the market

Scan top ai models.

Classify AI text from major AI models, from ChatGPT to Gemini, Llama, Claude and more.

Get unparalleled, advanced accuracy

Independent benchmarking shows GPTZero Advanced Scan has best-in-class accuracy.

Verify real writing

Opt for video replay and human writing verification to prove your authentic voice

Connect your classroom

Easily integrate with learning management systems including Canvas, Moodle, and Google Classroom.

Improve with AI Tutor

Build responsible writing habits with custom AI-powered writing feedback tools.

Detect plagiarism

Ensure originality and check if content was copied from outside sources without attribution.

Discover our Detection Dashboard

Access a deeper scan with unprecedented levels of AI text analysis.

Source scanning

Scan documents for plagiarism and our AI copyright check.

Easily scan dozens of files at once, organize, save, and download reports.

Leading research in AI content detection modeling

Our AI detection model contains 7 components that process text to determine if it was written by AI. We utilize a multi-step approach that aims to produce predictions that reach maximum accuracy, with the least false positives. Our model specializes in detecting content from Chat GPT, GPT 4, Gemini, Claude and LLaMa models.

Quantify AI with Deep Scan

Unlock More of GPTZero

Origin chrome extension.

Use our AI detection tool as you browse the internet for AI content. Create a Writing Report on Google Docs to view statistics about your writing.

writing report

With our writing report, you are able to see behind the scenes of a google doc, including writing statistics, AI content, and a video of your writing process.

AI detection API

We built an easy to use API for organizations to detect AI content. Integrate GPTZero’s AI detection abilities into your own tools and workflow.

AI Text Detection and Analysis Trusted by Leading Organizations

Gptzero reviews.

GPTZero was the only consistent performer, classifying AI-generated text correctly. As for the rest … not so much.

GPTZero has been incomparably more accurate than any of the other AI checkers. For me, it’s the best solution to build trust with my clients.

This tool is a magnifying glass to help teachers get a closer look behind the scenes of a document, ultimately creating a better exchange of ideas that can help kids learn.

The granular detail provided by GPTZero allows administrators to observe AI usage across the institution. This data is helping guide us on what type of education, parameters, and policies need to be in place to promote an innovative and healthy use of AI.

After talking to the class, each student we compiled with GPTZero as possibly using AI ended up telling us they did, which made us extremely confident in GPTZero’s capabilities.

Sign up for GPTZero. Its feedback aligns well with my sense of what is going on in the writing - almost line-for-line.

I'm a huge fan of the writing reports that let me verify my documents are human-written. The writing video, in particular, is a great way to visualize the writing process!

Excellent chrome extension. I ran numerous tests on human written content and the results were 100% accurate.

Outstanding! This is an extraordinary tool to not only assess the end result but to view the real-time process it took to write the document.

GPTZero is the best AI detection tool for teachers and educators.

General FAQs about our AI Detector

Everything you need to know about GPTZero and our chat gpt detector. Can’t find an answer? You can talk to our customer service team .

What is GPTZero?

GPTZero is the leading AI detector for checking whether a document was written by a large language model such as ChatGPT. GPTZero detects AI on sentence, paragraph, and document level. Our model was trained on a large, diverse corpus of human-written and AI-generated text, with a focus on English prose. To date, GPTZero has served over 2.5 million users around the world, and works with over 100 organizations in education, hiring, publishing, legal, and more.

How do I use GPTZero?

Simply paste in the text you want to check, or upload your file, and we'll return an overall detection for your document, as well as sentence-by-sentence highlighting of sentences where we've detected AI. Unlike other detectors, we help you interpret the results with a description of the result, instead of just returning a number.

To get the power of our AI detector for larger texts, or a batch of files, sign up for a free account on our  Dashboard .

If you want to run the AI detector as your browse, you can download our  Chrome Extension, Origin , which allows you to scan the entire page in one click.

When should I use GPTZero?

Our users have seen the use of AI-generated text proliferate into education, certification, hiring and recruitment, social writing platforms, disinformation, and beyond. We've created GPTZero as a tool to highlight the possible use of AI in writing text. In particular, we focus on classifying AI use in prose.

Overall, our classifier is intended to be used to flag situations in which a conversation can be started (for example, between educators and students) to drive further inquiry and spread awareness of the risks of using AI in written work.

Does GPTZero only detect ChatGPT outputs?

No, GPTZero works robustly across a range of AI language models, including but not limited to ChatGPT, GPT-4, GPT-3, GPT-2, LLaMA, and AI services based on those models.

Why GPTZero over other detection models?

• GPTZero is the most accurate AI detector across use-cases, verified by multiple independent sources, including TechCrunch, which called us the best and most reliable AI detector after testing seven others.
• GPTZero builds and constantly improves our own technology. In our competitor analysis, we found that not only does GPTZero perform better, some competitor services are actually just forwarding the outputs of free, open-source models without additional training.
• In contrast to many other models, GPTZero is finetuned for student writing and academic prose. By doing so, we've seen large improvements in accuracies for this use-case.

What are the limitations of the classifier?

The nature of AI-generated content is changing constantly. As such, these results should not be used to punish students. We recommend educators to use our behind-the-scene Writing Reports as part of a holistic assessment of student work. There always exist edge cases with both instances where AI is classified as human, and human is classified as AI. Instead, we recommend educators take approaches that give students the opportunity to demonstrate their understanding in a controlled environment and craft assignments that cannot be solved with AI .

The accuracy of our model increases as more text is submitted to the model. As such, the accuracy of the model on the document-level classification will be greater than the accuracy on the paragraph-level, which is greater than the accuracy on the sentence level.

The accuracy of our model also increases for text similar in nature to our dataset. While we train on a highly diverse set of human and AI-generated text, the majority of our dataset is in English prose, written by adults.

Our classifier is not trained to identify AI-generated text after it has been heavily modified after generation (although we estimate this is a minority of the uses for AI-generation at the moment).

Currently, our classifier can sometimes flag other machine-generated or highly procedural text as AI-generated, and as such, should be used on more descriptive portions of text.

What can I do as an educator to reduce the risk of AI misuse?

• Help students understand the risks of using AI in their work (to learn more, see this article ), and value of learning to express themselves. For example, in real-life, real-time collaboration, pitching, and debate, how does your class improve their ability to communicate when AI is not available?
• Ask students to write about personal experiences and how they relate to the text, or reflect on their learning experience in your class.
• Ask students to critique the default answer given by Chat GPT to your question.
• Require that students cite real, primary sources of information to back up their specific claims, or ask them to write about recent events.
• Assess students based on a live discussion with their peers, and use peer assessment tools (such as the one provided by our partner, Peerceptiv ).
• Ask students to complete their assignments in class or in an interactive way, and shift lectures to be take-home.
• Ask students to produce multiple drafts of their work that they can revise as peers or through the educator, to help students understand that assignments are meant to teach a learning process.
• Ask students to produce work in a medium that is difficult to generate, such as powerpoint presentations, visual displays, videos, or audio recordings.
• Set expectations for your students that you will be checking the work through an AI detector like GPTZero, to deter misuse of AI.

I'm an educator who has found AI-generated text by my students. What do I do?

Firstly, at GPTZero, we don't believe that any AI detector is perfect. There always exist edge cases with both instances where AI is classified as human, and human is classified as AI. Nonetheless, we recommend that educators can do the following when they get a positive detection:

• Ask students to demonstrate their understanding in a controlled environment, whether that is through an in-person assessment, or through an editor that can track their edit history (for instance, using our Writing Reports through Google Docs). Check out our list of several recommendations on types of assignments that are difficult to solve with AI.
• Ask the student if they can produce artifacts of their writing process, whether it is drafts, revision histories, or brainstorming notes. For example, if the editor they used to write the text has an edit history (such as Google Docs), and it was typed out with several edits over a reasonable period of time, it is likely the student work is authentic. You can use GPTZero's Writing Reports to replay the student's writing process, and view signals that indicate the authenticity of the work.
• See if there is a history of AI-generated text in the student's work. We recommend looking for a long-term pattern of AI use, as opposed to a single instance, in order to determine whether the student is using AI.

What data did you train your model on?

Our model is trained on millions of documents spanning various domains of writing including creating writing, scientific writing, blogs, news articles, and more. We test our models on a never-before-seen set of human and AI articles from a section of our large-scale dataset, in addition to a smaller set of challenging articles that are outside its training distribution.

How do I use and interpret the results from your API?

To see the full schema and try examples yourself, check out our  API documentation.

Our API returns a document_classification field which indicates the most likely classification of the document. The possible values are HUMAN_ONLY , MIXED , and AI_ONLY . We also provide a probability for each classification, which is returned in the class_probabilities field. The keys for this field are human , ai or mixed . To get the probability for the most likely classification, the predicted_class field can be used. The class probability corresponding to the predicted class can be interpreted as the chance that the detector is correct in its classification. I.e. 90% means that 90% of the time on similar documents our detector is correct in the prediction it makes. Lastly, each prediction comes with a confidence_category field, which can be high , medium , or low . Confidence categories are tuned such that when the confidence_category field is high 99.1% of human articles are classified as human, and 98.4% of AI articles are classified as AI.

Additionally, we highlight sentences that been detected to be written by AI. API users can access this highlighting through the highlight_sentence_for_ai field. The sentence-level classification should not be solely used to indicate that an essay contains AI (such as ChatGPT plagiarism). Rather, when a document gets a MIXED or AI_ONLY classification, the highlighted sentence will indicate where in the document we believe this occurred.

Are you storing data from API calls?

No. We do not store or collect the documents passed into any calls to our API. We wanted to be overly cautious on the side of storing data from any organizations using our API. However, we do store inputs from calls made from our dashboard. This data is only used in aggregate by GPTZero to further improve the service for our users. You can refer to our privacy policy for more details.

How do I cite GPTZero for an academic paper?

You can use the following bibtex citation:

• Skip to main content
• Keyboard shortcuts for audio player

A college student created an app that can tell whether AI wrote an essay

Emma Bowman

GPTZero in action: The bot correctly detected AI-written text. The writing sample that was submitted? ChatGPT's attempt at "an essay on the ethics of AI plagiarism that could pass a ChatGPT detector tool." GPTZero.me/Screenshot by NPR hide caption

GPTZero in action: The bot correctly detected AI-written text. The writing sample that was submitted? ChatGPT's attempt at "an essay on the ethics of AI plagiarism that could pass a ChatGPT detector tool."

Teachers worried about students turning in essays written by a popular artificial intelligence chatbot now have a new tool of their own.

Edward Tian, a 22-year-old senior at Princeton University, has built an app to detect whether text is written by ChatGPT, the viral chatbot that's sparked fears over its potential for unethical uses in academia.

Edward Tian, a 22-year-old computer science student at Princeton, created an app that detects essays written by the impressive AI-powered language model known as ChatGPT. Edward Tian hide caption

Edward Tian, a 22-year-old computer science student at Princeton, created an app that detects essays written by the impressive AI-powered language model known as ChatGPT.

Tian, a computer science major who is minoring in journalism, spent part of his winter break creating GPTZero, which he said can "quickly and efficiently" decipher whether a human or ChatGPT authored an essay.

His motivation to create the bot was to fight what he sees as an increase in AI plagiarism. Since the release of ChatGPT in late November, there have been reports of students using the breakthrough language model to pass off AI-written assignments as their own.

"there's so much chatgpt hype going around. is this and that written by AI? we as humans deserve to know!" Tian wrote in a tweet introducing GPTZero.

Tian said many teachers have reached out to him after he released his bot online on Jan. 2, telling him about the positive results they've seen from testing it.

More than 30,000 people had tried out GPTZero within a week of its launch. It was so popular that the app crashed. Streamlit, the free platform that hosts GPTZero, has since stepped in to support Tian with more memory and resources to handle the web traffic.

How GPTZero works

To determine whether an excerpt is written by a bot, GPTZero uses two indicators: "perplexity" and "burstiness." Perplexity measures the complexity of text; if GPTZero is perplexed by the text, then it has a high complexity and it's more likely to be human-written. However, if the text is more familiar to the bot — because it's been trained on such data — then it will have low complexity and therefore is more likely to be AI-generated.

Separately, burstiness compares the variations of sentences. Humans tend to write with greater burstiness, for example, with some longer or complex sentences alongside shorter ones. AI sentences tend to be more uniform.

In a demonstration video, Tian compared the app's analysis of a story in The New Yorker and a LinkedIn post written by ChatGPT. It successfully distinguished writing by a human versus AI.

A new AI chatbot might do your homework for you. But it's still not an A+ student

Tian acknowledged that his bot isn't foolproof, as some users have reported when putting it to the test. He said he's still working to improve the model's accuracy.

But by designing an app that sheds some light on what separates human from AI, the tool helps work toward a core mission for Tian: bringing transparency to AI.

"For so long, AI has been a black box where we really don't know what's going on inside," he said. "And with GPTZero, I wanted to start pushing back and fighting against that."

The quest to curb AI plagiarism

Untangling Disinformation

Ai-generated fake faces have become a hallmark of online influence operations.

The college senior isn't alone in the race to rein in AI plagiarism and forgery. OpenAI, the developer of ChatGPT, has signaled a commitment to preventing AI plagiarism and other nefarious applications. Last month, Scott Aaronson, a researcher currently focusing on AI safety at OpenAI, revealed that the company has been working on a way to "watermark" GPT-generated text with an "unnoticeable secret signal" to identify its source.

The open-source AI community Hugging Face has put out a tool to detect whether text was created by GPT-2, an earlier version of the AI model used to make ChatGPT. A philosophy professor in South Carolina who happened to know about the tool said he used it to catch a student submitting AI-written work.

The New York City education department said on Thursday that it's blocking access to ChatGPT on school networks and devices over concerns about its "negative impacts on student learning, and concerns regarding the safety and accuracy of content."

Tian is not opposed to the use of AI tools like ChatGPT.

GPTZero is "not meant to be a tool to stop these technologies from being used," he said. "But with any new technologies, we need to be able to adopt it responsibly and we need to have safeguards."

I tested 7 AI content detectors - they're getting dramatically better at identifying plagiarism

When I first looked at whether it's possible to fight back against AI-generated plagiarism, and how that might work, it was January 2023, just a few months into the world's exploding awareness of generative AI . More than a year later, it feels like we've been exploring generative AI for years, but we've only looked at the issue for about 18 months.

In any case, this is an updated version of that original January 2023 article. When I first tested GPT detectors, I used three: the GPT-2 Output Detector  (this is a different URL than we published before), Writer.com AI Content Detector , and Content at Scale AI Content Detection . 

Also:  How to use ChatGPT: Everything you need to know

The best result was 66% correct, from the GPT-2 Output Detector. I did another test in October 2023 and added three more: GPTZero , ZeroGPT (yes, they're different), and Writefull's GPT Detector . Now, in the summer of 2024, I'm adding QuillBot and a commercial service, Originality.ai , to the mix.

In October 2023, I removed the Writer.com AI Content Detector from our test suite because it failed back in January 2023, it failed again in October, and it failed now. See below for a comment from the company, which their team sent me after the original article was published in January.

Before I go on, though, we should discuss plagiarism and how it relates to our problem. Merriam-Webster defines " plagiarize " as "to steal and pass off (the ideas or words of another) as one's own; use (another's production) without crediting the source."

This definition fits AI-created content well. While someone using an AI tool like Notion AI or ChatGPT isn't stealing content, if that person doesn't credit the words as coming from an AI and claims them as their own, it still meets the dictionary definition of plagiarism.

Also:  The best AI image generators to try

In this experimental article, I've asked ChatGPT to help out. My words are in normal and bold text. The AI's words are italicized. After each AI-generated section, I'll show the results of the detectors. At the end of the article, we'll look at how well the detectors performed overall.

Here are the test results for the above text, which I wrote myself:

• GPT-2 Output Detector:  99.98% real 
• Content at Scale AI Content Detection:  100% highly likely to be human!
• GPTZero:  Your text is likely to be written entirely by a human
• ZeroGPT:  22% AI GPT Your Text is Most Likely Human written
• Writefull GPT Detector:  1% likely this comes from GPT-3, GPT-4 or ChatGPT
• Originality.ai:  84% Original 16% AI
• QuillBot: 45% of text is likely AI-generated

Human-written content: 5-of-7 correct

Before we move on, let's discuss what I'll consider a "correct" analysis. If the score is numeric, anything above 80% will be counted as a correct analysis, and that's being generous. If the score has a summary, I'll look at the summary and make a judgment. 

With that, let's dig in some more.

Explain why ChatGPT can be a real problem for teachers and editors when it comes to plagiarism

ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) language model developed by OpenAI. It is designed to generate human-like text by predicting the next word or phrase in a given input sequence. While ChatGPT can be a useful tool for generating text and responding to prompts, it can also be a problem for teachers and editors when it comes to plagiarism.

Also:  4 ways to overcome your biggest worries about generative AI

One of the main reasons why ChatGPT can be a problem for teachers and editors is that it can generate text that is very similar to that of real human writers. This means that students or other individuals could potentially use ChatGPT to generate text that they could then submit as their own work, thereby committing plagiarism.

For teachers and editors, detecting whether a given piece of text was generated by ChatGPT or written by a human can be very difficult, as the generated text may not contain any obvious errors or discrepancies that would reveal its artificial origin. This can make it difficult for teachers and editors to identify and prevent plagiarism, as they may not be able to tell whether a given piece of text is original or copied from another source.

Overall, ChatGPT and other similar language models can be a problem for teachers and editors when it comes to plagiarism because they can generate text that is difficult to distinguish from that written by humans, making it easier for students and other individuals to commit plagiarism without being detected.

• GPT-2 Output Detector:  99.69% real
• Content at Scale AI Content Detection:  Hard to tell
• GPTZero:  100% AI
• ZeroGPT:  100% AI
• Writefull GPT Detector:  12% likely this comes from GPT-3, GPT-4 or ChatGPT
• Originality.ai: 100% AI
• QuillBot:  83% of text is likely AI-generated

AI-written content: 4-of-7 correct

Remember, text shown in italics was generated by the AI.

Show me at least three ways that I can detect ChatGPT was used to produce a piece of text

There are several ways that you can potentially detect whether ChatGPT or another language model was used to produce a piece of text. Here are three potential approaches you could use:

• Look for repetitive or unusual patterns in the text: One way to detect whether a language model was used to generate a piece of text is to look for repetitive or unusual patterns in the writing. For example, language models may repeat certain phrases or word combinations, or use unusual or inconsistent sentence structures.
• Check for lack of originality: Another way to detect whether a language model was used to generate a piece of text is to check for a lack of originality in the writing. If a piece of text appears to be copied from another source, or if it contains information that is widely available on the internet or in other sources, it could be a sign that it was generated by a language model.
• Use a plagiarism checker: Finally, you can use a plagiarism checker to check whether a piece of text appears to be copied from another source. While a plagiarism checker may not be able to definitively determine whether a language model was used to generate a piece of text, it can help you identify instances of copying or paraphrasing from other sources.
• Note when the answer is obviously wrong: I talked about this in my Notion AI review , where I spotlighted some text the AI wrote with seeming authority, but which was blatantly wrong. If a student or writer doesn't have full command of the topic being discussed, they may not spot the inaccuracies and leave them in the AI-generated response. Of course, incorrect statements aren't just the purview of an AI writing tool. Many bloggers and commenters, for example, repeat statements made by other bloggers, creating an echo chamber of completely "false facts", showing that while intelligence may be artificial, stupidity is a universal trait.

Keep in mind that it can be difficult to definitively determine whether a language model was used to generate a piece of text, and these methods may not always be effective. However, they can be useful tools to help you identify potential instances of language model-generated text.

In this set of tests, only the italicized content above was run through the checker suite.

• GPT-2 Output Detector:  99.98% fake
• Content at Scale AI Content Detection:  Passes as human
• GPTZero: 100% AI
• ZeroGPT:  99.69% AI GPT Your Text is AI/GPT Generated
• Writefull GPT Detector: 79% likely this comes from GPT-3, GPT-4 or ChatGPT
• QuillBot:  100% of text is likely AI-generated

AI-written content: 5-of-7 correct

List three plagiarism checkers that can detect ChatGPT text

It is worth noting that there is currently no plagiarism checker that is specifically designed to detect text generated by ChatGPT or other language models. While some plagiarism checkers may be able to identify certain characteristics of language model-generated text that could indicate its artificial origin, there is no guarantee that they will be able to definitively determine whether a piece of text was generated by a language model.

With that said, here are three plagiarism checkers that you might consider using to help identify potential instances of language model-generated text:

• Turnitin: Turnitin is a popular plagiarism checker that is widely used by schools and universities. It compares a piece of text to a database of other texts to identify instances of copying or paraphrasing. While it may not be able to definitively determine whether a piece of text was generated by a language model, it could potentially identify certain characteristics of language model-generated text that could indicate its artificial origin.
• PlagScan: PlagScan is another plagiarism checker that compares a piece of text to a database of other texts to identify instances of copying or paraphrasing. Like Turnitin, it may be able to identify certain characteristics of language model-generated text that could indicate its artificial origin, but it is not specifically designed to detect language model-generated text.
• Copyleaks: Copyleaks is a plagiarism checker that uses advanced machine learning algorithms to scan a piece of text and compare it to a database of other texts to identify instances of copying or paraphrasing. While it may be able to identify certain characteristics of language model-generated text, it is not specifically designed to detect language model-generated text.

It is worth noting that no plagiarism checker is completely foolproof, and there is always the possibility that a piece of language model-generated text could escape detection. Therefore, it is important to use plagiarism checkers as just one part of a larger strategy to detect and prevent plagiarism.

• GPT-2 Output Detector:  99.58% real
• ZeroGPT:  100% AI GPT
• Writefull GPT Detector: 86% likely this comes from GPT-3, GPT-4 or ChatGPT

Online AI plagiarism checkers

Most plagiarism detectors are used to compare writing against a corpus of other writing. For example, when a student turns in an essay, a product like Turnitin scans the submitted essay against a huge library of essays in its database, and other documents and text on the internet to determine if the submitted essay contains already-written content.

However, the AI-writing tools generate original content, at least in theory. Yes, they build their content from whatever they've been trained on, but the words they construct are somewhat unique for each composition.

Also:  OpenAI pulls its own AI detection tool because it was performing so poorly

As such, the plagiarism checkers mentioned above probably won't work because the AI-generated content probably didn't exist in, say, another student's paper.

In this article, we're just looking at GPT detectors. But plagiarism is a big problem, and as we've seen, some choose to define plagiarism as something you claim as yours that you didn't write, while others choose to define plagiarism as something written by someone else that you claim is yours.

That distinction was never a problem until now. Now that we have non-human writers, the plagiarism distinction is more nuanced. It's up to every teacher, school, editor, and institution to decide exactly where that line is drawn.

• GPT-2 Output Detector: 99.56% real
• GPTZero: 98% human
• ZeroGPT: 16.82 AI Your text is human written
• Writefull GPT Detector: 7% likely this comes from GPT-3, GPT-4 or ChatGPT
• Originality.ai: 84% Original 16% AI
• QuillBot:  0% of text is likely AI-generated

Human-written content: 7-of-7 correct

Overall results

Overall, test results this time are dramatically better than they have been with previous tests. 

In our previous runs, none of the tests got everything right. This time, three of the seven services tested got the results correct 100% of the time.

While the overall results have improved dramatically, I would not be comfortable relying solely on these tools to validate a student's content. As has been shown, writing from non-native speakers often gets rated as generated by an AI , and even though my hand-crafted content has no longer been rated as AI, there were a few paragraphs flagged by the testers as possibly being AI-based. So, I would advocate caution before relying on the results of any (or all) of these tools.

Also: Could someone falsely accuse you of using AI-generated text? This could be why

Let's look at the individual testers and see how each performed.

GPT-2 Output Detector (Accuracy 60%)

This first tool was built using a machine-learning hub managed by New York-based AI company Hugging Face . While the company has received $40 million in funding to develop its natural language library, the GPT-2 detector appears to be a user-created tool using the Hugging Face Transformers library. Of the six tests I ran, it was accurate for four of them.

Writer.com AI Content Detector (Accuracy N/A)

Writer.com is a service that generates AI writing, oriented towards corporate teams. Its AI Content Detector tool can scan for generated content. Unfortunately, I found this tool unreliable, and it failed to generate results -- exactly the same way it did in January 2023.

After this article was originally published in January, the folks at Writer.com reached out to ZDNET. CEO May Habib had this comment to share:

Demand for the AI detector has skyrocketed. Traffic has grown 2-3x per week since we launched it a couple months ago. We've now got the necessary scaling behind it to make sure it doesn't go down, and our goal is to keep it free - and up to date to catch the latest models' outputs, including ours. If AI output is going to be used verbatim, it absolutely should be attributed.

Content at Scale AI Content Detection (Accuracy 40%)

The third tool I found was also produced by an AI content generation firm. Content at Scale pitches itself as "We Help SEO-Focused Content Marketers by Automating Content Creation." Its marketing call to action is, "Upload a list of keywords and get 2,600+ word blog posts that bypass AI content detection -- all with no human intervention!" Disturbingly, the results got worse from January -- back then, it was 50% accurate. It has not improved since.

GPTZero (Accuracy 100%)

It's not entirely clear what drives GPTZero . The company is hiring engineers and sales folks, and it runs on AWS, so there are expenses and sales involved. However, all I could find about a service offering was a place where you could register for a free account to scan more than the 5,000 words offered without login. If you're interested in this service for GPT detection, you'll have to see if they'll respond to you with more details. Accuracy has increased since the last time I ran these tests.

ZeroGPT (Accuracy 100%)

ZeroGPT seems to have matured as a service since we last looked at it. When we last looked, no company name was listed, and the site was peppered with Google ads with no apparent strategy for monetization. The service worked fairly well but seemed sketchy as heck.

That sketchy-as-heck feeling is now gone. ZeroGPT presents as any other SaaS service, complete with pricing, company name, contact information, and all the rest. It still performs quite well, so perhaps the developers decided to turn their working code into more of a working business. Accuracy increased as well. Good for them.

Writefull GPT Detector (Accuracy 80%)

Writefull sells writing support services, as well as a free taste of its tools. The GPT detector is fairly new and worked fairly well. Although not fully accurate, it did improve from 60% accurate to 80% accurate with my tests.

Originality.ai (Accuracy 100%, sort of)

Originality.ai is a commercial service that bills itself as both an AI checker and a plagiarism checker. The company sells its services based on usage credits. To give you an idea, all the scans I did for this article used a total of 30 usage credits. The company sells 2,000 credits a month for $12.95 per month. I pumped about 1,400 words through the system and used only 1.5% of the monthly allocation.

Results were great for the AI checker, but they failed 3 out of 5 times when it came to using the service as a plagiarism checker. The following screenshot claims that the text pasted in was 0% plagiarised:

That's wrong since all the text pasted into it was from this article, which has been published online for 18 months. I thought, perhaps, that the plagiarism scanner couldn't read ZDNET content, but that's not the case, as this screenshot shows:

To be fair, I didn't set out to check plagiarism checkers in this article. But since I'm using source material I know I pulled from my existing article, I figured the plagiarism checker would have slammed all of them as 100% plagiarized. In any case, Originality.ai did well on the part we set out to test, the AI checker. They get points for that.  

QuillBot (Accuracy 80%-ish)

Nothing is ever easy. The first time I ran my first test through QuillBot , it said that 45% of the text was likely generated by an AI. It wasn't. I wrote it. But then, after completing all the other tests, I returned to QuillBot to grab a screenshot for this section, fed it the same text that generated the 45% score, and, as you can see, it now reports 0% AI.

So, what are we to make of this result? Sadly, I didn't grab a screenshot of the first time I tested this text, but it highlights the concern with relying too much on AI detectors because they are also quite capable of hallucination. 

What about OpenAI's own ChatGPT detector?

Well,  OpenAI pulled it last year because the detector wasn't particularly accurate. Now, it's supposed to be 99% accurate . That's a little tough to believe because ChatGPT itself is far from 100% accurate. 

Also:  Will OpenAI's new AI detection tool put an end to student cheating?

But, in any case, as my ZDNET buddy Steven Vaughan-Nichols writes, it's not available yet. We'll give it a spin when it's released for public use. Stay tuned.

Final thoughts

First, I'll let ChatGPT have its say:  AI-driven plagiarism is a growing problem, as AI tools like Notion AI and ChatGPT can generate text that is difficult to distinguish from that written by humans. There are several ways to detect whether a piece of text was generated by an AI, such as looking for repetitive or unusual patterns, checking for a lack of originality, or using a plagiarism checker. Plagiarism checkers like Turnitin, PlagScan, and Copyleaks may be able to identify certain characteristics of language model-generated text, but they are not foolproof.

Even the specialty tools I found were woefully unsuited to the task. There was some limited improvement over my tests in January. However, I certainly wouldn't feel comfortable threatening a student's academic standing or accusing them of cheating based on the results of these tools.

Also: Surprise! AI chatbots don't increase student cheating after all, research finds

At this point, I don't think we're ready to let AI fight AI. Instead, we'll have to rely on human perception (which means folks have to pay attention) to identify works generated by an AI.

Don't immediately assume that something is machine-generated. Just because something is stupid, or wildly inaccurate, doesn't mean it was not written by a human. As we all know, humans can write some bad stuff on their own.

Also: Can Perplexity Pro help you code? It aced my programming tests - thanks to GPT-4

So, what do you think? Can you tell if a piece is AI-generated? Have you used these AI writing tools in the months since they suddenly became available? Do you think they're a help or hindrance to education and journalism? Let us know in the comments below. Here's how ChatGPT answered this:

As a language model, I can't see or interact with physical pieces of writing, so I can't tell if a piece is AI-generated or not. However, I can tell you that there are several AI writing tools that are available, and they can be used to generate a wide range of written content, including news articles, fiction, poetry, and more.

I don't have personal experience using these tools since I am just a computer program and don't have the ability to browse the internet or use physical tools. However, I can tell you that some people have found AI writing tools to be helpful in education and journalism, as they can save time and effort by automating certain tasks. Others have expressed concerns about the potential for these tools to be used to produce misleading or biased content or to replace human writers. Ultimately, whether AI writing tools are a help or hindrance depends on how they are used and the context in which they are used.

So, yeah, there's that.

You can follow my day-to-day project updates on social media. Be sure to subscribe to my weekly update newsletter , and follow me on Twitter/X at @DavidGewirtz , on Facebook at Facebook.com/DavidGewirtz , on Instagram at Instagram.com/DavidGewirtz , and on YouTube at YouTube.com/DavidGewirtzTV .

Artificial Intelligence

Grammarly to roll out a new ai content detector tool. here's how it works, will openai's new ai detection tool put an end to student cheating, in search of the foolproof ai watermark.

GPT Essay Checker for Students

How to Interpret the Result of AI Detection

To use our GPT checker, you won’t need to do any preparation work!

Take the 3 steps:

• Copy and paste the text you want to be analyzed,
• Click the button,
• Follow the prompts to interpret the result.

Our AI detector doesn’t give a definitive answer. It’s only a free beta test that will be improved later. For now, it provides a preliminary conclusion and analyzes the provided text, implementing the color-coding system that you can see above the analysis.

It is you who decides whether the text is written by a human or AI:

• Your text was likely generated by an AI if it is mostly red with some orange words. This means that the word choice of the whole document is nowhere near unique or unpredictable.
• Your text looks unique and human-made if our GPT essay checker adds plenty of orange, green, and blue to the color palette.
• 🔮 The Tool’s Benefits

🤖 Will AI Replace Human Writers?

✅ ai in essay writing.

• 🕵 How do GPT checkers work?

Chat GPT in Essay Writing – the Shortcomings

• The tool doesn’t know anything about what happened after 2021. Novel history is not its strong side. Sometimes it needs to be corrected about earlier events. For instance, request information about Heathrow Terminal 1 . The program will tell you it is functioning, although it has been closed since 2015.
• The reliability of answers is questionable. AI takes information from the web which abounds in fake news, bias, and conspiracy theories.
• References also need to be checked. The links that the tool generates are sometimes incorrect, and sometimes even fake.
• Two AI generated essays on the same topic can be very similar. Although a plagiarism checker will likely consider the texts original, your teacher will easily see the same structure and arguments.
• Chat GPT essay detectors are being actively developed now. Traditional plagiarism checkers are not good at finding texts made by ChatGPT. But this does not mean that an AI-generated piece cannot be detected at all.

🕵 How Do GPT Checkers Work?

An AI-generated text is too predictable. Its creation is based on the word frequency in each particular case.

Thus, its strong side (being life-like) makes it easily discernible for ChatGPT detectors.

Once again, conventional anti-plagiarism essay checkers won’t work there merely because this writing features originality. Meanwhile, it will be too similar to hundreds of other texts covering the same topic.

Here’s an everyday example. Two people give birth to a baby. When kids become adults, they are very much like their parents. But can we tell this particular human is a child of the other two humans? No, if we cannot make a genetic test. This GPT essay checker is a paternity test for written content.

❓ GPT Essay Checker FAQ

Updated: Jul 19th, 2024

• Abstracts written by ChatGPT fool scientists - Nature
• How to... use ChatGPT to boost your writing
• Will ChatGPT Kill the Student Essay? - The Atlantic
• ChatGPT: how to use the AI chatbot taking over the world
• Overview of ChatGPT - Technology Hits - Medium
• Free Essays
• Writing Tools
• Lit. Guides
• Donate a Paper
• Q&A by Experts
• Referencing Guides
• Free Textbooks
• Tongue Twisters
• Editorial Policy
• Job Openings
• Video Contest
• Writing Scholarship
• Discount Codes
• Brand Guidelines
• IvyPanda Shop
• Online Courses
• Terms and Conditions
• Privacy Policy
• Cookies Policy
• Copyright Principles
• DMCA Request
• Service Notice

IvyPanda's free online GPT essay checker is much more effective than traditional plagiarism checkers. Find out if an academic paper was written by a human or a machine. You will also find a detailed guide on how to interpret the analysis results.

A Princeton student built an app which can detect if ChatGPT wrote an essay to combat AI-based plagiarism

• A Princeton student built an app that aims to tell if essays were written by AIs like ChatGPT.
• The app analyzes text to see how randomly it is written, allowing it to detect if it was written by AI.
• The website hosting the app, built by Edward Tian, crashed due to high traffic.

A new app can detect whether your essay was written by ChatGPT, as researchers look to combat AI plagiarism.

Edward Tian, a computer science student at Princeton, said he spent the holiday period building GPTZero.

He shared two videos comparing the app's analysis of a New Yorker article and a letter written by ChatGPT. It correctly identified that they were respectively written by a human and AI.

—Edward Tian (@edward_the6) January 3, 2023

GPTZero scores text on its "perplexity and burstiness" – referring to how complicated it is and how randomly it is written. 

The app was so popular that it crashed "due to unexpectedly high web traffic," and currently displays a beta-signup page . GPTZero is still available to use on Tian's Streamlit page, after the website hosts stepped in to increase its capacity.

Tian, a former data journalist with the BBC, said that he was motivated to build GPTZero after seeing increased instances of AI plagiarism.

Related stories

"Are high school teachers going to want students using ChatGPT to write their history essays? Likely not," he tweeted.

The Guardian recently reported that ChatGPT is introducing its own system to combat plagiarism by making it easier to identify, and watermarking the bot's output.

That follows The New York Times' report that Google issued a "code red" alert over the AI's popularity.  

Insider's Beatrice Nolan also tested ChatGPT to write cover letters for job applications , with one hiring manager saying she'd have got an interview, though another said the letter lacked personality.

Tian added that he's planning to publish a paper with accuracy stats using student journalism articles as data, alongside Princeton's Natural Language Processing group. 

OpenAI and Tian didn't immediately respond to Insider's request for comment, sent outside US working hours. 

• Main content

How-To Geek

How to tell if an article was written by chatgpt.

Your changes have been saved

Email is sent

Email has already been sent

Please verify your email address.

You’ve reached your account maximum for followed topics.

The Future of SSDs: What Comes After NVME?

Chatgpt can save you money by replacing all of these apps, what's next for smart rings, quick links, how to tell if chatgpt wrote that article, can you use ai to detect ai-generated text, tools to check if an article was written by chatgpt, train your brain to catch ai, key takeaways.

You can tell a ChatGPT-written article by its simple, repetitive structure and its tendency to make logical and factual errors. Some tools are available for automatically detecting AI-generated text, but they are prone to false positives.

AI technology is changing what we see online and how we interact with the world. From a Midjourney photo of the Pope in a puffer coat to language learning models like ChatGPT, artificial intelligence is working its way into our lives.

The more sinister uses of AI tech, like a political disinformation campaign blasting out fake articles, mean we need to educate ourselves enough to spot the fakes. So how can you tell if an article is actually AI generated text?

Multiple methods and tools currently exist to help determine whether the article you're reading was written by a robot. Not all of them are 100% reliable, and they can deliver false positives, but they do offer a starting point.

One big marker of human-written text, at least for now, is randomness. While people will write using different styles and slang and often make typos, AI language models very rarely make those kinds of mistakes. According to MIT Technology Review , "human-written text is riddled with typos and is incredibly variable," while AI generated text models like ChatGPT are much better at creating typo-less text. Of course, a good copy editor will have the same effect, so you have to watch for more than just correct spelling.

Another indicator is punctuation patterns. Humans will use punctuation more randomly than an AI model might. AI generated text also usually contains more connector words like "the," "it," or "is" instead of larger more rarely used words because large language models operate by predicting what word will is most likely to come next, not coming up with something that would sound good the way a human might.

This is visible in ChatGPT's response to one of the stock questions on OpenAI's website. When asked, "Can you explain quantum computing in simple terms," you get sentences like: "What makes qubits special is that they can exist in multiple states at the same time, thanks to a property called superposition. It's like a qubit can be both a 0 and a 1 simultaneously. "

Short, simple connecting words are regularly used, the sentences are all a similar length, and paragraphs all follow a similar structure. The end result is writing that sounds and feels a bit robotic.

Large language models themselves can be trained to spot AI generated writing. Training the system on two sets of text --- one written by AI and the other written by people --- can theoretically teach the model to recognize and detect AI writing like ChatGPT.

Researchers are also working on watermarking methods to detect AI articles and text. Tom Goldstein, who teaches computer science at the University of Maryland, is working on a way to build watermarks into AI language models in the hope that it can help detect machine-generated writing even if it's good enough to mimic human randomness.

Invisible to the naked eye, the watermark would be detectable by an algorithm, which would indicate it as either human or AI generated depending on how often it adhered to or broke the watermarking rules. Unfortunately, this method hasn't tested so well on later models of ChatGPT.

You can find multiple copy-and-paste tools online to help you check whether an article is AI generated. Many of them use language models to scan the text, including ChatGPT-4 itself.

Undetectable AI , for example, markets itself as a tool to make your AI writing indistinguishable from a human's. Copy and paste the text into its window and the program checks it against results from other AI detection tools like GPTZero to assign it a likelihood score --- it basically checks whether eight other AI detectors would think your text was written by a robot.

Originality is another tool, geared toward large publishers and content producers. It claims to be more accurate than others on the market and uses ChatGPT-4 to help detect text written by AI. Other popular checking tools include:

Most of these tools give you a percentage value, like 96% human and 4% AI, to determine how likely it is that the text was written by a human. If the score is 40-50% AI or higher, it's likely the piece was AI-generated.

While developers are working to make these tools better at detecting AI generated text, none of them are totally accurate and can falsely flag human content as AI generated. There's also concern that since large language models like GPT-4 are improving so quickly, detection models are constantly playing catchup.

Related: Can ChatGPT Write Essays: Is Using AI to Write Essays a Good Idea?

In addition to using tools, you can train yourself to catch AI generated content. It takes practice, but over time you can get better at it.

Daphne Ippolito, a senior research scientist at Google's AI division Google Brain, made a game called Real Or Fake Text  (ROFT) that can help you separate human sentences from robotic ones by gradually training you to notice when a sentence doesn't quite look right.

One common marker of AI text, according to Ippolito, is nonsensical statements like "it takes two hours to make a cup of coffee." Ippolito's game is largely focused on helping people detect those kinds of errors. In fact, there have been multiple instances of an AI writing program stating inaccurate facts with total confidence --- you probably shouldn't ask it to do your math assignment , either, as it doesn't seem to handle numerical calculations very well.

Right now, these are the best detection methods we have to catch text written by an AI program. Language models are getting better at a speed that renders current detection methods outdated pretty quickly, however, leaving us in, as Melissa Heikkilä writes for MIT Technology Review, an arms race.

Related: How to Fact-Check ChatGPT With Bing AI Chat

• Cutting Edge
• AI & Machine Learning

• What is ChatGPT?
• How to Use Google Gemini

How to detect ChatGPT plagiarism — and why it’s becoming so difficult

Chatbots are hot stuff right now, and ChatGPT is chief among them. But thanks to how powerful and humanlike its responses are, academics, educators, and editors are all dealing with the rising tide of AI-generated plagiarism and cheating. Your old plagiarism detection tools may not be enough to sniff out the real from the fake.

Lots of detection options

Putting them to the test.

In this article, I talk a little about this nightmarish side of AI chatbots, check out a few online plagiarism detection tools, and explore how dire the situation has become.

The latest November 2022 release of startup OpenAI’s ChatGPT basically thrusted chatbot prowess into the limelight. It allowed any regular Joe (or any professional) to generate smart, intelligible essays or articles, and solve text-based mathematic problems. To the unaware or inexperienced reader, the AI-created content can quite easily pass as a legit piece of writing, which is why students love it — and teachers hate it.

A great challenge with AI writing tools is their double-edged sword ability to use natural language and grammar to build unique and almost individualized content even if the content itself was drawn from a database. That means the race to beat AI-based cheating is on. Here are some options I found that are available right now for free.

GPT-2 Output Detector comes straight from ChatGPT developer OpenAI to demonstrate that it has a bot capable of detecting chatbot text. Output Detector is easy to use — users just have to enter text into a text field and the tool will immediately provide its assessment of how likely it is that the text came from a human or not.

Two more tools that have clean UIs are Writer AI Content Detector and Content at Scale . You can either add a URL to scan the content (writer only) or manually add text. The results are given a percentage score of how likely it is that the content is human-generated.

GPTZero is a home-brewed beta tool hosted on Streamlit and created by Princeton University student Edward Zen. It’s differs from the rest in how the “algiarism” (AI-assisted plagiarism) model presents its results. GPTZero breaks the metrics into perplexity and burstiness. Burstiness measures overall randomness for all sentences in a text, while perplexity measures randomness in a sentence. The tool assigns a number to both metrics — the lower the number, the greater possibility that the text was created by a bot.

Just for fun, I included Giant Language Model Test Room (GLTR), developed by researchers from the MIT-IBM Watson AI Lab and Harvard Natural Language Processing Group. Like GPTZero, it doesn’t present its final results as a clear “human” or “bot” distinction. GLTR basically uses bots to identify text written by bots, since bots are less likely to select unpredictable words. Therefore, the results are presented as a color-coded histogram, ranking AI-generated text versus human-generated text. The greater the amount of unpredictable text, the more likely the text is from a human.

All these options might make you think we’re in a good spot with AI detection. But to test the actual effectiveness of each of these tools, I wanted to try it out for myself. So I ran a couple of sample paragraphs that I wrote in response to questions that I also posed to, in this case, ChatGPT.

My first question was a simple one: Why is buying a prebuilt PC frowned upon? Here’s how my own answers compared to the response from ChatGPT.

As you can see, most of these apps could tell that my words were genuine, with the first three being the most accurate. But ChatGPT fooled most of these detector apps with its response too. It scored a 99% human on the Writer AI Content Detector app, for starters, and was marked just 36% fake by GPT-based detector. GLTR was the biggest offender, claiming that my own words were equally likely to be written by a human as ChatGPT’s words.

I decided to give it one more shot, though, and this time, the responses were significantly improved. I asked ChatGPT to provide a summary of the Swiss Federal Institute of Technology’s research into anti-fogging using gold particles. In this example, the detector apps did a much better job at approving my own response and detecting ChatGPT.

The top three tests really showed their strength in this response. And while GLTR still had a hard time seeing my own writing as human, at least it did a good of catching ChatGPT this time.

It’s obvious from the results of each query that online plagiarism detectors aren’t perfect. For more complex answers or pieces of writing (such as in the case of my second prompt), it’s a bit easier for these apps to detect the AI-based writing, while the simpler responses are much more difficult to deduce. But clearly, it’s not what I’d call dependable. Occasionally, these detector tools will misclassify articles or essays as ChatGPT-generated, which is a problem for teachers or editors wanting to rely on them for catching cheaters.

Developers are constantly fine-tuning accuracy and false positive rates, but they’re also bracing for the arrival of GPT-3, which touts a significantly improved dataset and more complex capabilities than GPT-2 (of which ChatGPT is trained from).

At this point, in order to identify content generated by AIs, editors and educators will need to combine judiciousness and a little bit of human intuition with one (or more) of these AI detectors. And for chatbot users who have or are tempted to use chatbots such as Chatsonic, ChatGPT, Notion, or YouChat to pass of their “work” as legit — please don’t. Repurposing content created by a bot (that sources from fixed sources within its database) is still plagiarism no matter how you look at it.

Editors’ Recommendations

• There’s something strange about the latest update to ChatGPT
• ChatGPT can now generate images for free using Dall-E
• ChatGPT Advanced Voice mode: release date, compatibility, and more
• ChatGPT: the latest news and updates on the AI chatbot that changed everything
• All the wild things people are doing with ChatGPT’s new Voice Mode
• Artificial Intelligence

OpenAI CEO and co-founder Sam Altman revealed on X (formerly Twitter) Thursday that its Advanced Voice feature will begin rolling out "next week," though only for a few select ChatGPT-Plus subscribers.

The company plans to "start the alpha with a small group of users to gather feedback and expand based on what we learn."

People were in awe when ChatGPT came out, impressed by its natural language abilities as an AI chatbot originally powered by the GPT-3.5 large language model. But when the highly anticipated GPT-4 large language model came out, it blew the lid off what we thought was possible with AI, with some calling it the early glimpses of AGI (artificial general intelligence). What is GPT-4? GPT-4 is the newest language model created by OpenAI that can generate text that is similar to human speech. It advances the technology used by ChatGPT, which was previously based on GPT-3.5 but has since been updated. GPT is the acronym for Generative Pre-trained Transformer, a deep learning technology that uses artificial neural networks to write like a human.

According to OpenAI, this next-generation language model is more advanced than ChatGPT in three key areas: creativity, visual input, and longer context. In terms of creativity, OpenAI says GPT-4 is much better at both creating and collaborating with users on creative projects. Examples of these include music, screenplays, technical writing, and even "learning a user's writing style."

OpenAI announced the release of its newest snack-sized generative model, dubbed GPT-4o mini, which is both less resource intensive and cheaper to operate than its standard GPT-4o model, allowing developers to integrate the AI technology into a far wider range of products.

It's a big upgrade for developers and apps, but it also expands the capabilities and reduces limitations on the free version of ChatGPT. GPT-4o mini is now available to users on the Free, Plus, and Team tiers through the ChatGPT web and app for users and developers starting today, while ChatGPT Enterprise subscribers will gain access next week. GPT-4o mini will replace the company's existing small model, GPT-3.5 Turbo, for end users beginning today.

Most Accurate AI Detector

Our ai detector, available for free below, is the most accurate ai detector for chatgpt, gpt-4o, gemini pro, claude 3.5, llama 3.1 and other popular ai writing or paraphrasing tools. ‍ know if the writer copied and pasted their work from chatgpt, trusted by industry leaders.

Our AI Detector is Built for Writers & Digital Marketers

By narrowing our focus on website content and serving the seo community (digital marketers, content marketers, copy editors, website publishers and writers) we have built the most accurate ai checker with the extra features you need to be able to hit publish with integrity   our complete content quality solution includes our accurate ai checker, plagiarism checker, readability checker, fact checker and grammar checker. using originality.ai allows you to ensure all content meets your standards. ‍ we are not against ai generated content, but believe that you should be the one making the decision on if and when you publish it. do you want your writers to copy and paste their text from chatgpt without you knowing.

Our AI Detector has repeatedly been shown to be the most accurate at detecting AI-generated content by both our internal testing and 3rd party peer-reviewed research papers . Across all Large Language Models (LLMs) including Chat GPT, GPT-4o, GPT 4, Gemini Pro, Llama 3.1, Claude 3.5 and even Baidu’s Ernie we are able to detect AI generated text. Any AI Detectors accuracy claim that is not supported with an in-depth analysis, like those linked to above, should be viewed skeptically.

Do AI Detectors Work - Studies:

• Most Accurate in Multiple AI Detector Studies Originality.ai was shown to be the most accurate AI detector across multiple published studies. Including the most in depth analysis to date looking at 12 detectors and 11 LLM's. ‍ See results of 6 3rd Party Studies
• Our AI Detection Accuracy Study Our detector was the most accurate across multiple publicly available datasets tested covering blog posts, books, research papers, essays, news, wiki and reviews. We built and open-sourced a testing tool to help others replicate on their own data. See Study & Open Source Testing Tool

Why Are We The Most Accurate?

• Large AI Models - Because we are not built for Students and therefore we only offer the limited free AI Checker above we can focus our resources on using a larger AI detection model.
• Focus on Published Text, Not Academia/Research/Historical Text - Instead of training our detector on all types of written text our model specializes on content meant to be published on the internet or in print and created for the average reader (web content, blog posts, books, news etc).
• Build and Train on “Adversarial” Datasets - We have a full time “Red Team” that is actively testing strategies to make undetectable AI content. Once they find a strategy (such as paraphrase plagiarism ) that can create high quality undetectable AI generated text and bypass our AI content detector we improve our AI technology and make it detectable.

No False Positives - Demonstrate Originality With Writing Replays

Using our Free AI Detection Chrome Extension you can visualize the entire writing process of any Google Document helping to reduce the chance of a false positive causing problems. Having the ability to visualize how the document was created (a sped up character by character/word by word replay) helps resolve any uncertainty about whether or not text is AI or human generated. Install the Free AI Detector Chrome Extension

Benefits of Our Free AI Detector Chrome Extension:

• Check for AI Content on Any Website Quickly - With our Chrome Extension you can check any webpage you are visiting to see if it is AI written text. 
• Quickly Check Content Using our Copy/Paste Window - The easy to use copy and paste text window allows you to check any piece of content within any text editor, such as Wordpress. 
• Watch a Writer Write - With our Chrome Extension you can watch the writer write the entire document at a sped up speed.
• See A Table And Graph Of Activity By the Author -  See a detailed analysis of each writers writing sessions including their duration, word count and the number of characters written.

Enterprise Ready AI Detection - Security | Privacy | Controls & API

We understand the world of large volume content operations and Originality.ai is built to be the complete solution which allows organizations to hit publish with integrity and at scale. The risks associated with publishing AI generated content (negative impact on Google search results, factually incorrect/embarrassing AI hallucinations published) have never been greater.

Features Our Enterprise Customers Love:

• Team Management - Add, remove and monitor usage of your organizations users.
• API - Well Documented, Reliable, Fully Featured and Fast API Access - See the AI detection API documentation that your developers will love to work with. 
• Opt-Out Of Your Data Being Used in Future AI Training - You can select to have none of your data used for any AI training.
• One-Click Delete All Scan History - We provide an easy 1-click option to delete all of your scan history
• End-to-End 256 Bit Encryption - TLS 1.2 or higher is achieved with our end-to-end military grade 256 bit encryption.
• A Complete Content QA/QC Solution - Plagiarism Checking, Fact Checking and a Readability checker are all included in our complete solution for organizations to be able to hit publish with integrity.
• Sentence Level Highlighting - Our AI content detector will highlight sentences indicating the probability of whether or not each sentence was AI written or human written.

Industry Leading Models That Fit Your Use Case

The use of AI in content writing is nuanced. We have models that are tuned to your specific use case. Whether you allow AI editing or want NO AI to get past your review we have a model that is optimized for your approach. 

AI Detection Models to Suit Your Needs…

• Lite - When you allow AI editing (think grammarly) 98% accurate at detecting AI content Under 1% false positive rate Allows for some light AI editing
• Standard - Balanced Approach - Our Default Model 99%+ accurate at detecting AI content Under 2% false positive rate Allows for some light AI editing
• Turbo - Zero tolerance policy on use of AI 99%+ accurate at detecting AI content Under 5% false positive rate Robust against bypassing methods Does not allow for AI editing
• Multi Language - 15 Languages

Features of Our AI Content Detector

In addition to our ai checker features listed on this page we have a complete suite of ai tools to help editors including… plagiarism checking , fact checking and readability checking ., some of the features our ai content detector offers includes….

• Shareable Reports

You can easily share the results of a content scan with a shareable link. Signup to Share Reports

Free Chrome Extension

Visualize the writing process to minimize the pain of a false positive and ensure writers get paid. Install Chrome Extension

Full Website Scan

Enter a URL and get a complete snapshot of the amount/timing of AI writing on any website. Start a Full Website Scan

• Team Management

Add and remove unlimited team members, manage their access level, and see a complete record of all their activity. Sign Up & Add Users

AI Detector API

Use the well-documented AI Content Detector API REST API to detect AI-generated content within your current workflow. Access API

Multiple Languages

English, Russian, Spanish, Turkish, Italian, French, German, Portuguese, Dutch, Chinese Traditional, Chinese Simplified, Greek, Polish, Vietnamese, Japanese and Persian Sign Up

Customers Love Originality.ai

After testing a number of AI content detection tools, I have found Originality.ai to be one of the best on the market . And now with the ability to detect paraphrased AI content, Orignality.ai is even more powerful. It’s basically my go-to detection tool at this point.

SEO Consultant, GSQI.com

At Clicking Publish, producing original, high-quality content is essential to our success. To maintain these standards, it's important that we verify the work from freelancers and outsourced writers. Originality.ai makes this process easy for us by providing a simple and efficient tool that ensures the content we receive meets our expectations.

Kityo Martin

Clicking Publish

After doing some serious testing with Originality (which caters for the newerAl tech), I can't fool it (yet).

Founder, FatJoe

Flexible Pricing

Protect your reputation & improve your content quality by accurately detecting plagiarised content and artificially generated text..

Founder, Workaguide.com

Pay As You Go

If you have a one time need to scan documents.

• 3,000 Credits 1 Credit Scans 100 Words for Plagiarism and AI Checking 1 Credit Scans 10 Words for Fact Checking Additional Credits $0.01/credit 2 Year Expiry
• Plagiarism Scan
• Readability Scan
• 30 Day Scan History
• Standard Support
• No File Upload ‍ docx, doc, pdf
• No Full Site Scans
• No Scan from URL
• No Team Management
• No Tag Scans
• No Access To Future Features

Best solution for most peaple.

• 2,000 Credits per Month 1 Credit Scans 100 Words for Plagiarism and AI Checking 1 Credit Scans 10 Words for Fact Checking Additional Credits $0.01/credit 1 Month Expiry - renews each month
• File Upload ‍ docx, doc, pdf
• Full Site Scans
• Scan from URL
• Access To Future Features

per month • save $29.90 per year

Access the API, more credits, and priority support.

• Everything Included in Pro..
• 15,000 Credits per Month 1 Credit Scans 100 Words for Plagiarism and AI Checking 1 Credit Scans 10 Words for Fact Checking Additional Credits $0.01/credit 1 Month Expiry - renews each month
• Priority Support
• 365 Day Scan History

per month • save $509 per year

Pricing Calculator

In the press, featured by leading publications.

Originality.ai did a fantastic job on all three prompts, precisely detecting them as AI-written. Additionally, after I checked with actual human-written textual content, it did determine it as 100% human-generated, which is important.

Vahan Petrosyan

searchenginejournal.com

I use this tool most frequently to check for AI content personally. My most frequent use-case is checking content submitted by freelance writers we work with for AI and plagiarism.

searchengineland.com

After extensive research and testing, we determined Originality.ai to be the most accurate technology.

Rock Content Team

rockcontent.com

Jon Gillham, Founder of Originality.ai came up with a tool to detect whether the content is written by humans or AI tools. It’s built on such technology that can specifically detect content by ChatGPT-3 — by giving you a spam score of 0-100, with an accuracy of 94%.

Felix Rose-Collins

ranktracker.com

Frequently Asked Questions

Our internally built artificial intelligence uses supervised learning with multiple models including a modified BERT & Roberta model to predict if it is Human or AI written content. Our AI has been provided with millions of records both AI and Human text then trained to tell the difference between the two.

Google along with other search engines has made it clear that “Using automation - including AI - to generate content with the primary purpose of manipulating ranking in search results is a violation of our Spam Policies”.

Additionally we found that Google Adsense can identify AI generated text and rejected a website because of AI generated text ( study ).

Yes, we provide two opportunities to try our AI content detectors capabilities for free. You can can use our Free AI Detector at the top of this page or you can also signup and receive 50 free credits within our app.

Yes, Chat GPT generated content along with most LLM’s (Gemini Pro, GPT-4, GPT-4o, Claude 3.5, Llama 3.1 etc) can be detected at a high rate of accuracy. They are not perfect and do have some false-positives. An AI detector does “work” depending on the level of accuracy, precision and recall you require.

• Do AI Detectors Work

AI Content Detector & Plagiarism Checker for Marketers and Writers

Use our leading tools to ensure you can hit publish with integrity.

AI & Plagiarism Detector for Serious Content Publishers

KNOWLEDGE BASE

© 0000   Originality.ai

Chat GPT Detector for Essays

Understanding the results.

Once you click “Check the text,” you will see a bar chart and a detailed analysis of the text.

The bar chart displays the proportions of words in the text based on how likely an AI generator would use them in a similar context:

• The red column shows the percentage of words an AI generator would most probably use to write a text on your topic.
• The orange column shows the proportion of words that a GPT generator would sometimes use.
• The green column displays the percentage of words that an AI tool would rarely use while generating a similar text.
• The violet column displays the share of the least predictable words that a GPT writer would almost never use.

Under the bar chart, you will find a detailed analysis of the text. All words will be colored according to the categories they belong to. By clicking on each word, you’ll be able to see its probability of being used by a chatbot, as well as the top-5 most likely alternatives.

An AI-generated text will be colored mostly red and orange. In contrast, a paper written by a human will contain green and violet words.

• ️✅ The Tool's Benefits
• ️🤖 Why Is ChatGPT Detection Important?
• ️❌ AI Text Generators Limitations
• ️🔎 AI Detection: Is It Possible for Now?
• ️🔗 References

✅ Chat GPT Detector Benefits

🛠️ Chat GPT Essay Detector: How Does It Work?

To use the tool, take the 4 steps below:

• Add the content in question (up to 4500 characters).
• Input its topic, title, or short description (optional).
• Click “Check the text”.
• Get a detailed analysis for free.

Automatically generated texts have become a considerable problem for teachers in 2023. Developing an accurate AI essay detector is the hottest research area now. The Chat GPT detector we’ve made is an instrument that shows the probability for a text to be AI-generated.

The tool’s functioning is effortless:

Enter the text, press the button, and check the result.

The Chat GPT checker will analyze the piece in detail, showing the proportions of words in the text based on how likely an AI writer would use them. As a result, you can edit the most predictable words and sentences if needed, making the text look 100% human-written.

🤖 Chat GPT Detectors: Why Are They So Important?

Chat GPT, created by OpenAI , has been a pain in the neck for teachers since its creation.

The tool is what our parents considered science fiction. It generates custom-made answers to specific questions and can take your prompts into account.

An unprecedented threat is looming over the conventional system of education in general and independent writing assignments in particular. How can we assess and develop students’ problem-solving and critical thinking?

Chat GPT can find and compile facts, use various pre-set writing styles, and produce convincing, logical arguments. To make it even better (and worse!), it has impeccable grammar, although users can choose to add grammatical errors for credibility. Last but not least, for now AI essay detection is problematic, because traditional plagiarism detectors fail to identify Chat GPT generated papers correctly.

The first decision came: NYC blocked Chat GPT on campuses , and other education departments will soon follow them. But no one can control non-educational Internet networks and devices.

We are standing on the verge of the “Big Bang” in our perception of education methodology. Here’s what can happen:

• Most likely, educators will have to move away from formulaic writing with strict rubrics.
• Colleges won’t dedicate as much time to theoretical knowledge and give more ways to practice.
• Students will be encouraged to explore information worth knowing.
• Specific homework assignments will become outdated.
• Creativity will become more critical than knowledge.
• All schools will use ChatGPT essay detectors like they used plagiarism detectors in the era of Google.

❌ Chat GPT Essay Writing: Limitations and Ethical Issues

ChatGPT is impressive but not flawless. As of the moment, it has such limitations.

Chat GPT Essay Writing Limitations

• Don’t expect it to answer questions about what happened after 2021 . For example, it doesn’t know much about Biden’s presidency, Omicron, the Russian invasion of Ukraine , or the death of Queen Elizabeth II. That's why you shouldn’t ask GPT-3 to write an essay on, let’s say, Russian invasion of Ukraine.
• ChatGPT isn’t able to keep up with the latest events . Training the tool on this information takes time. Perhaps, software engineers will eventually solve this issue.
• It can generate incorrect texts if it gets the question wrong. You took it right. It is a human-like intelligence, and mutual misunderstanding is in our veins. But paraphrasing the query can improve the result.
• Adding too many parameters, getting niche, or asking tricky questions overwhelms the program . It will give inappropriate answers or ignore parts of your request.
• It can use offensive language like all of us in some cases.

AI Essay Writing: Ethical Issues

The ethical issues of AI essay writers are also explicit.

AI nominally filters out requests in writing that go against the service’s policy. That’s why you won’t be able to produce harmful content using the program. Meanwhile, merely asking it to help generate a text from a racist’s point of view is acceptable and doable.

The program takes concepts and words from a dataset containing texts from the Internet. The latter has never been a peaceful and ethical place. So, despite an astonishing understanding of moral issues the AI has demonstrated, it can use human biases and stereotypes, purposefully or not. It can neither differentiate fake news nor conspiracy theories.

In this aspect, developers have a long way to go.

🔎 AI Essay Detector: Does it Work?

AI detection is hardly possible for the human eye. The only difference is that computer-generated texts stick to the most likely word. Meanwhile, people often choose unpredictable words that still make sense to a knowledgeable audience.

But one cannot fool a computer. This AI detector for essays shows how likely a text has been machine-generated or written by a human. Once again, the more predictable the choice of words, the more artificial it looks.

❓ AI Essay Detector FAQ

❓ what content types can i generate using ai.

AI can generate literally any content except for harmful and offensive statements. Still, its truthfulness is questionable. AI cannot tell fake news from real ones and conspiracy theories from reality. Neither can it filter out the bias that prevails on the internet.

❓ How To Generate Content Using AI?

If you would like to generate content using AI, use ChatGPT. It can create anything from an essay to answers to complicated moral dilemmas. Enter your query into the indicated field, and press the respective button to see the result. If it does not meet your expectations, modify the question.

❓ How To Detect AI Generated Content?

You cannot detect AI-generated content without dedicated software. I.e., our brain sees no difference between human-made and artificial texts. This AI detection tool will help you determine whether the text was written by hand or by code. Just copy the text into the program and check the result.

❓ How Does a Chat GPT Essay Detector Work?

A ChatGPT detector works similarly to AI text generators. It analyses the predictability of each word in a sentence. If the selection is highly predictable, AI has created the text. The more terms are used in unusual places, the more life-like the text is.

Updated: Jun 26th, 2024

🔗 References

• The Limitations of Chat-GPT - Medium
• 5 Big Problems With OpenAI's ChatGPT - MakeUseOf
• What is GPT-3? Everything You Need to Know - TechTarget
• Meet GPT-3. It Has Learned to Code (and Blog and Argue).
• What is Natural Language Processing? An Introduction to NLP

To revisit this article, visit My Profile, then View saved stories .

• The Big Story
• Newsletters
• Steven Levy's Plaintext Column
• WIRED Classics from the Archive
• WIRED Insider
• WIRED Consulting

ChatGPT Is Making Universities Rethink Plagiarism

In late December of his sophomore year, Rutgers University student Kai Cobbs came to a conclusion he never thought possible:  Artificial intelligence might just be dumber than humans. 

After listening to his peers rave about the generative AI tool  ChatGPT , Cobbs decided to toy around with the chatbot while writing an essay on the history of capitalism. Best known for its ability to generate long-form written content in response to user input prompts, Cobbs expected the tool to produce a nuanced and thoughtful response to his specific research directions. Instead, his screen produced a generic, poorly written paper he’d never dare to claim as his own. 

“The quality of writing was appalling. The phrasing was awkward and it lacked complexity,” Cobbs says. “I just logically can’t imagine a student using writing that was generated through ChatGPT for a paper or anything when the content is just plain bad.” 

Not everyone shares Cobbs’ disdain. Ever since OpenAI launched the chatbot in November,  educators have been struggling with how to handle a new wave of student work produced with the help of artificial intelligence. While some public school systems, like New York City’s, have banned the use of ChatGPT on school devices and networks to curb cheating, universities have been reluctant to follow suit. In higher education, the introduction of generative AI has raised thorny questions about the definition of plagiarism and academic integrity on campuses where new digital research tools come into play all the time. 

Make no mistake, the birth of ChatGPT does not mark the emergence of concerns relating to the improper use of the internet in academia. When  Wikipedia launched in 2001 , universities nationwide were  scrambling to decipher their own research philosophies and understandings of honest academic work, expanding policy boundaries to match pace with technological innovation. Now, the stakes are a little more complex, as schools figure out how to treat bot-produced work rather than weird attributional logistics. The world of higher education is playing a familiar game of catch-up, adjusting their rules, expectations, and perceptions as other professions adjust, too. The only difference now is that the internet can think for itself. 

According to ChatGPT, the definition of plagiarism is the act of using someone else’s work or ideas without giving proper credit to the original author. But when the work is generated by some thing rather than some one , this definition is tricky to apply. As Emily Hipchen, a board member of Brown University’s Academic Code Committee, puts it, the use of generative AI by students leads to a critical point of contention. “If [plagiarism] is stealing from a person,” she says, “then I don’t know that we have a person who is being stolen from.”

Hipchen is not alone in her speculation. Alice Dailey, chair of the Academic Integrity Program at Villanova University, is also grappling with the idea of classifying an algorithm as a person, specifically if the algorithm involves text generation.

Dailey believes that eventually professors and students are going to need to understand that digital tools that generate text, rather than just collect facts, are going to need to fall under the umbrella of things that can be plagiarized from. 

Although Dailey acknowledges that this technological growth incites new concerns in the world of academia, she doesn’t find it to be a realm entirely unexplored. “I think we’ve been in a version of this territory for a while already,” Dailey says. “Students who commit plagiarism often borrow material from a ‘somewhere’—a website, for example, that doesn’t have clear authorial attribution. I suspect the definition of plagiarism will expand to include things that produce.” 

Eventually, Dailey believes, a student who uses text from ChatGPT will be seen as no different than one that copies and pastes chunks of text from Wikipedia without attribution. 

Students’ views on ChatGPT are another issue entirely. There are those, like Cobbs, who can’t imagine putting their name on anything bot-generated, but there are others who see it as just another tool, like spellcheck or even a calculator. For Brown University sophomore Jacob Gelman, ChatGPT exists merely as a convenient research assistant and nothing more.

“Calling the use of ChatGPT to pull reliable sources from the internet ‘cheating’ is absurd. It’s like saying using the internet to conduct research is unethical,” Gelman says. “To me, ChatGPT is the research equivalent of [typing assistant] Grammarly. I use it out of practicality and that’s really all.” Cobbs expressed similar sentiment, comparing the AI bot to “an online encyclopedia.”

But while students like Gelman use the bot to speed up research, others take advantage of the high-capacity prompt input feature to generate completed works for submission. It might seem obvious what qualifies as cheating here, but different schools across the country offer contrasting takes.

According to Carlee Warfield, chair of Bryn Mawr College’s Student Honor Board, the school considers any use of these AI platforms as plagiarism. The tool’s popularization just calls for greater focus in evaluating the intent behind students’ violations. Warfield explains that students who turn in essays entirely produced by AI are categorically different from those who borrow from online tools without knowledge of standard citations. Because the ChatGPT phenomenon is still new, students’ confusion surrounding the ethics is understandable. And it's unclear what policies will remain in place once the dust settles—at any school.

In the midst of fundamental change in both the academic and technological spheres, universities are forced to reconsider their definitions of academic integrity to reasonably reflect the circumstances of society. The only problem is, society shows no stagnance. 

“Villanova’s current academic integrity code will be updated to include language that prohibits the use of these tools to generate text that then students represent as text they generated independently,” Dailey explained. “But I think it’s an evolving thing. And what it can do and what we will then need in order to keep an eye on will also be kind of a moving target.”

In addition to increasingly complex questions about whether ChatGPT is a research tool or a plagiarism engine, there’s also the possibility that it can be  used for learning. In other educational settings, teachers see it as a way to show students the shortcomings of AI. Some instructors are already  modifying how they teach by giving students assignments bots couldn’t complete, like those that require personal details or anecdotes. There’s also the matter of detecting AI use in students’ work, which is a  burgeoning cottage industry all its own. 

Ultimately, Dailey says, schools may need rules that reflect a range of variables.

“My guess is that there will be the development of some broad blanket policies that essentially say, unless you have permission from a professor to use AI tools, using them will be considered a violation of the academic integrity code,” Dailey says. “That then gives faculty broad latitude to use it in their teaching or in their assignments, as long as they are stipulating explicitly that they are allowing it.”

As for ChatGTP, the program agrees. “Advances in fields such as artificial intelligence are expected to drive significant innovation in the coming years,” it says, when asked how schools can combat academic dishonesty. “Schools should constantly review and update their academic honor codes as technology evolves to ensure they are addressing the current ways in which technology is being used in academic settings.”

But, a bot would say that. 

You Might Also Like …

Politics Lab: Get the newsletter and listen to the podcast

What happens when you give people free money

Not everyone loses weight on Ozempic

The Pentagon wants to spend $141 billion on a doomsday machine

Event: Join us for the Energy Tech Summit on October 10 in Berlin

Grab your spot at the free arXiv Accessibility Forum

Help | Advanced Search

Computer Science > Artificial Intelligence

Title: will chatgpt get you caught rethinking of plagiarism detection.

Abstract: The rise of Artificial Intelligence (AI) technology and its impact on education has been a topic of growing concern in recent years. The new generation AI systems such as chatbots have become more accessible on the Internet and stronger in terms of capabilities. The use of chatbots, particularly ChatGPT, for generating academic essays at schools and colleges has sparked fears among scholars. This study aims to explore the originality of contents produced by one of the most popular AI chatbots, ChatGPT. To this end, two popular plagiarism detection tools were used to evaluate the originality of 50 essays generated by ChatGPT on various topics. Our results manifest that ChatGPT has a great potential to generate sophisticated text outputs without being well caught by the plagiarism check software. In other words, ChatGPT can create content on many topics with high originality as if they were written by someone. These findings align with the recent concerns about students using chatbots for an easy shortcut to success with minimal or no effort. Moreover, ChatGPT was asked to verify if the essays were generated by itself, as an additional measure of plagiarism check, and it showed superior performance compared to the traditional plagiarism-detection tools. The paper discusses the need for institutions to consider appropriate measures to mitigate potential plagiarism issues and advise on the ongoing debate surrounding the impact of AI technology on education. Further implications are discussed in the paper.

Submission history

Access paper:.

• Other Formats

References & Citations

• Google Scholar
• Semantic Scholar

BibTeX formatted citation

Bibliographic and Citation Tools

Code, data and media associated with this article, recommenders and search tools.

• Institution

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

• Do Not Sell My Personal Info

•  ⋅ 
• Content Creation

The 6 Best AI Content Checkers To Use In 2024

Can you tell AI-generated content from human-written content? These tools can. Here are the six best AI content detectors to use in 2024.

Today, many people see generative AI like ChatGPT, Gemini, and others as indispensable tools that streamline their day-to-day workflows and enhance their productivity .

However, with the proliferation of AI assistants comes an uptick in AI-generated content. AI content detectors can help you prioritize content quality and originality.

These tools can help you discern whether a piece of content was written by a human or AI – a task that’s becoming increasingly difficult – and this can help detect plagiarism, and ensure content is original, unique, and high-quality.

In this article, we’ll look at some of the top AI content checkers available in 2024. Let’s dive in.

The 6 Best AI Content Checkers

Launched in 2022, GPTZero was “the first public open AI detector,” according to its website – and it’s a leading choice among the tools out there today.

GPTZero’s advanced detection model comprises seven different components , including an internet text search to identify whether the content already exists in internet archives, a burstiness analysis to see whether the style and tone reflect that of human writing, end-to-end deep learning, and more.

Its Deep Scan feature gives you a detailed report highlighting sentences likely created by AI and tells you why that is, and GPTZero also offers a user-friendly Detection Dashboard as a source of truth for all your reports.

The tool is straightforward, and the company works with partners and researchers from institutions like Princeton, Penn State, and OpenAI to provide top-tier research and benchmarking.

• The Basic plan is available for free. It includes up to 10,000 words per month.
• The Essential plan starts at $10 per month, with up to 150,000 words, plagiarism detection, and advanced writing feedback.
• The Premium plan starts at $16 per month and includes up to 300,000 words, everything in the Essential tier, as well as Deep Scan, AI detection in multiple languages, and downloadable reports.

2. Originality.ai

Originality.ai is designed to detect AI-generated content across various language models, including ChatGPT, GPT-4o, Gemini Pro, Claude 3, Llama 3, and others. It bills itself as the “most accurate AI detector,” and targets publishers, agencies, and writers – but not students.

The latter is relevant because, the company says, by leaving academia, research, and other historical text out of its scope, it’s able to better train its model to hone in on published content across the internet, print, etc.

Originality.ai works across multiple languages and offers a free Chrome extension and API integration. It also has a team that works around the clock, testing out new strategies to create AI content that tools can’t detect. Once it finds one, it trains the tool to sniff it out.

The tool is straightforward; users can just paste content directly into Originality.ai, or upload from a file or even a URL. It will then give you a report that flags AI-detected portions as well as the overall originality of the text. You get three free scans initially, with a 300-word limit.

• Pro membership starts at $12.45 per month and includes 2,000 credits, AI scans, shareable reports, plagiarism and readability scans, and more.
• Enterprise membership starts at $179 per month and includes 15,000 credits per month, features in the Pro plan, as well as priority support, API, and a 365-day history of your scans.
• Originality.ai also offers a “pay as you go” tier, which consists of a $30 one-time payment to access 3,000 credits and some of the more limited features listed above.

3. Copyleaks

While you’ve probably heard of Copyleaks as a plagiarism detection tool, what you might not know is that it also offers a comprehensive AI-checking solution .

The tool covers 30 languages and detects across AI models including ChatGPT, Gemini, and Claude – and it automatically updates when new language models are released.

According to Copyleaks, its AI detector “has over 99% overall accuracy and a 0.2% false positive rate, the lowest of any platform.”

It works by using its long history of data and learning to spot the pattern of human-generated writing – and thus, flag anything that doesn’t fit common patterns as potentially AI-generated.

Other notable features of Copyleaks’ AI content detector are the ability to detect AI-generated source code, spot content that might have been paraphrased by AI, as well as browser extension and API offerings.

• Users with a Copyleaks account can access a limited number of free scans daily.
• Paid plans start at $7.99 per month for the AI Detector tool, including up to 1,200 credits, scanning in over 30 languages, two users, and API access.
• You can also get access to an AI + Plagiarism Detection tier starting at $13.99 per month.

4. Winston AI

Another popular AI content detection tool, Winston AI calls itself “the most trusted AI detector,” and claims to be the only such tool with a 99.98% accuracy rate.

Winston AI is designed for users across the education, SEO, and writing industries, and it’s able to identify content generated by LLMs such as ChatGPT, GPT-4, Google Gemini, Claude, and more.

Using Winston AI is easy; paste or upload your documents into the tool, and it will scan the text (including text from scanned pictures or handwriting) and provide a printable report with your results.

Like other tools in this list, Winston AI offers multilingual support, high-grade security, and can also spot content that’s been paraphrased using tools like Quillbot.

One unique feature of Winston AI is its “AI Prediction Map,” a color-coded visualization that highlights which parts of your content sound inauthentic and may be flagged by AI detectors.

• Free 7-day trial includes 2,000 credits, AI content checking, AI image and deepfake detection, and more.
• Paid plans start at $12 per month for 80,000 credits, with additional advanced features based on your membership tier.

5. TraceGPT

Looking for an extremely accurate AI content detector? Try TraceGPT by PlagiarismCheck.org.

It’s a user-friendly tool that allows you to upload files across a range of formats, including doc, docx, txt, odt, rtf, and pdf. Then, it leverages creativity/predictability ratios and other methods to scan your content for “AI-related breadcrumbs.”

Once it’s done, TraceGPT will provide results that show you what it has flagged as potential AI-generated text, tagging it as “likely” or “highly likely.”

As with many of the options here, TraceGPT offers support in several languages, as well as API and browser extension access. The tool claims to be beneficial for people in academia, SEO, and recruitment.

• You can sign up to use TraceGPT and will be given limited free access.
• Paid plans differ based on the type of membership; for businesses, they start at $69 for 1,000 pages, and for individuals, it starts at $5.99 for 20 pages. Paid plans also give you access to 24/7 support and a grammar checker.

6. Hive Moderation

Hive Moderation, a company that specializes in content moderation, offers an AI content detector with a unique differentiator. Unlike most of the other examples listed here, it is capable of checking for AI content across several media formats, including text, audio, and image.

Users can simply input their desired media, and Hive’s models will discern whether they believe them to be AI-generated. You’ll get immediate results with a holistic score and more detailed information, such as whether Hive thinks your image was created by Midjourney, DALL-E, or ChatGPT, for example.

Hive Moderation offers a Chrome extension for its AI detector, as well as several levels of customization so that customers can tweak their usage to fit their needs and industry.

• You can download the Hive AI Chrome Extension for free, and its browser tool offers at least some free scans.
• You’ll need to contact the Hive Moderation team for more extensive use of its tools.

What Is An AI Content Checker?

An AI content checker is a tool for detecting whether a piece of content or writing was generated by artificial intelligence.

Using machine learning algorithms and natural language processing, these tools can identify specific patterns and characteristics common in AI-generated content .

An important disclaimer: At this point in time, no AI content detector is perfect. While some are better than others, they all have limitations.

They can make mistakes, from falsely identifying human-written content as AI-generated or failing to spot AI-generated content.

However, they are useful tools for pressure-testing content to spot glaring errors and ensure that it is authentic and not a reproduction or plagiarism.

Why Use An AI Content Detector?

As AI systems become more widespread and sophisticated, it’ll only become harder to tell when AI has produced content – so tools like these could become more important.

Other reasons AI content checkers are beneficial include:

• They can help you protect your reputation. Say you’re publishing content on a website or blog. You want to make sure your audience can trust that what they’re reading is authentic and original. AI content checkers can help you ensure just that.
• They can ensure you avoid any plagiarism.  Yes, generative AI is only getting better, but it’s still known to reproduce other people’s work without citation in the answers it generates. So, by using an AI content detector, you can steer clear of plagiarism and the many risks associated with it.
• They can confirm that the content you’re working with is original.   Producing unique content isn’t just an SEO best practice – it’s essential to maintaining integrity, whether you’re a business, a content creator, or an academic professional. AI content detectors can help here by weeding out anything that doesn’t meet that standard.

AI content detectors have various use cases, including at the draft stage, during editing, or during the final review of content. They can also be used for ongoing content audits.

AI detectors may produce false positives , so you should scrutinize their results if you’re using them to make a decision. However, false positives can also help identify human-written content that requires a little more work to stand out.

We recommend you use a variety of different tools, cross-check your results, and build trust with your writers. Always remember that these are not a replacement for human editing, fact-checking, or review .

They are merely there as a helping hand and an additional level of scrutiny.

While we still have a long way to go before AI detection tools are perfect, they’re useful tools that can help you ensure your content is authentic and of the highest quality.

By making use of AI content checkers, you can maintain trust with your audience and ensure you stay one step ahead of the competition.

Hopefully, this list of the best solutions available today can help you get started. Choose the tool that best fits your resources and requirements, and start integrating AI detection into your content workflow today.

More resources: 

• The 10 Best AI Writers & Content Generators Compared
• State of SEO 2024: Disruptions, AI & Content Strategies
• Leveraging Generative AI Tools For SEO

Featured Image: Sammby/Shutterstock

Writer, digital marketer, and content strategist. Annabelle has 8+ years of experience in social marketing, copywriting, and storytelling for best-in-class ...

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

• View all journals
• Explore content
• About the journal
• Publish with us
• Sign up for alerts
• 14 August 2024

Has your paper been used to train an AI model? Almost certainly

• Elizabeth Gibney

You can also search for this author in PubMed   Google Scholar

Academic publisher Wiley has sold access to its research papers to firms developing large language models. Credit: Timon Schneider/Alamy

Academic publishers are selling access to research papers to technology firms to train artificial-intelligence (AI) models. Some researchers have reacted with dismay at such deals happening without the consultation of authors. The trend is raising questions about the use of published and sometimes copyrighted work to train the exploding number of AI chatbots in development.

Experts say that, if a research paper hasn’t yet been used to train a large language model (LLM), it probably will be soon. Researchers are exploring technical ways for authors to spot if their content being used.

AI models fed AI-generated data quickly spew nonsense

Last month, it emerged that the UK academic publisher Taylor & Francis, had signed a US$10-million deal with Microsoft, allowing the US technology company to access the publisher’s data to improve its AI systems. And in June, an investor update showed that US publisher Wiley had earned $23 million from allowing an unnamed company to train generative-AI models on its content.

Anything that is available to read online — whether in an open-access repository or not — is “pretty likely” to have been fed into an LLM already, says Lucy Lu Wang, an AI researcher at the University of Washington in Seattle. “And if a paper has already been used as training data in a model, there’s no way to remove that paper after the model has been trained,” she adds.

Massive data sets

LLMs train on huge volumes of data, frequently scraped from the Internet. They derive patterns between the often billions of snippets of language in the training data, known as tokens, that allow them to generate text with uncanny fluency.

Generative-AI models rely on absorbing patterns from these swathes of data to output text, images or computer code. Academic papers are valuable for LLM builders owing to their length and “high information density”, says Stefan Baack, who analyses AI training data sets at the Mozilla Foundation, a global non-profit organization in San Francisco, California that aims to keep the Internet open for all to access.

How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models

Training models on a large body of scientific information also give them a much better ability to reason about scientific topics, says Wang, who co-created S2ORC, a data set based on 81.1 million academic papers. The data set was originally developed for text mining — applying analytical techniques to find patterns in data — but has since been used to train LLMs.

The trend of buying high-quality data sets is growing. This year, the Financial Times has offered its content to ChatGPT developer OpenAI in a lucrative deal, as has the online forum Reddit, to Google. And given that scientific publishers probably view the alternative as their work being scraped without an agreement, “I think there will be more of these deals to come,” says Wang.

Information secrets

Some AI developers, such as the Large-scale Artificial Intelligence Network, intentionally keep their data sets open, but many firms developing generative-AI models have kept much of their training data secret, says Baack. “We have no idea what is in there,” he says. Open-source repositories such as arXiv and the scholarly database PubMed of abstracts are thought to be “very popular” sources, he says, although paywalled journal articles probably have their free-to-read abstracts scraped by big technology firms. “They are always on the hunt for that kind of stuff,” he adds.

Proving that an LLM has used any individual paper is difficult, says Yves-Alexandre de Montjoye, a computer scientist at Imperial College London. One way is to prompt the model with an unusual sentence from a text and see whether the output matches the next words in the original. If it does, that is good evidence that the paper is in the training set. But if it doesn’t, that doesn’t mean that the paper wasn’t used — not least because developers can code the LLM to filter responses to ensure they don’t match training data too closely. “It takes a lot for this to work,” he says.

Robo-writers: the rise and risks of language-generating AI

Another method to check whether data are in a training set is known as membership inference attack. This relies on the idea that a model will be more confident about its output when it is seeing something that it has seen before. De Montjoye’s team has developed a version of this, called a copyright trap, for LLMs.

To set the trap, the team generates sentences that look plausible but are nonsense, and hides them in a body of work, for example as white text on a white background or in a field that’s displayed as zero width on a webpage. If an LLM is more ‘surprised’ — a measure known as its perplexity — by an unused control sentence than it is by the one hidden in the text, “that is statistical evidence that the traps were seen before”, he says.

Copyright questions

Even if it were possible to prove that an LLM has been trained on a certain text, it is not clear what happens next. Publishers maintain that, if developers use copyrighted text in training and have not sought a licence, that counts as infringement. But a counter legal argument says that LLMs do not copy anything — they harvest information content from training data, which gets broken up, and use their learning to generate new text.

AI is complicating plagiarism. How should scientists respond?

Litigation might help to resolve this. In an ongoing US copyright case that could be precedent-setting, The New York Times is suing Microsoft and ChatGPT’s developer OpenAI in San Francisco, California. The newspaper accuses the firms of using its journalistic content to train their models without permission.

Many academics are happy to have their work included in LLM training data — especially if the models make them more accurate. “I personally don’t mind if I have a chatbot who writes in the style of me,” says Baack. But he acknowledges that his job is not threatened by LLM outputs in the way that those of other professions, such as artists and writers, are.

Individual scientific authors currently have little power if the publisher of their paper decides to sell access to their copyrighted works. For publicly available articles, there is no established means to apportion credit or know whether a text has been used.

Some researchers, including de Montjoye, are frustrated. “We want LLMs, but we still want something that is fair, and I think we’ve not invented what this looks like yet,” he says.

doi: https://doi.org/10.1038/d41586-024-02599-9

Reprints and permissions

Related Articles

• Machine learning

Chatbots in science: What can ChatGPT do for you?

Career Column 14 AUG 24

Weather and climate predicted accurately — without using a supercomputer

News & Views 13 AUG 24

Physics solves a training problem for artificial neural networks

News & Views 07 AUG 24

Estonians gave their DNA to science — now they’re learning their genetic secrets

News 26 JUN 24

Not all ‘open source’ AI models are actually open: here’s a ranking

News 19 JUN 24

A guide to the Nature Index

Nature Index 05 JUN 24

Postdoctoral Fellow in Epigenetics/RNA Biology in the Lab of Yvonne Fondufe-Mittendorf

Van Andel Institute’s (VAI) Professor Yvonne Fondufe-Mittendorf, Ph.D. is hiring a Postdoctoral Fellow to join the lab and carry out an independent...

Grand Rapids, Michigan

Van Andel Institute

Faculty Positions in Center of Bioelectronic Medicine, School of Life Sciences, Westlake University

SLS invites applications for multiple tenure-track/tenured faculty positions at all academic ranks.

Hangzhou, Zhejiang, China

School of Life Sciences, Westlake University

Faculty Positions, Aging and Neurodegeneration, Westlake Laboratory of Life Sciences and Biomedicine

Applicants with expertise in aging and neurodegeneration and related areas are particularly encouraged to apply.

Westlake Laboratory of Life Sciences and Biomedicine (WLLSB)

Faculty Positions in Chemical Biology, Westlake University

We are seeking outstanding scientists to lead vigorous independent research programs focusing on all aspects of chemical biology including...

Assistant Professor Position in Genomics

The Lewis-Sigler Institute at Princeton University invites applications for a tenure-track faculty position in Genomics.

Princeton University, Princeton, New Jersey, US

The Lewis-Sigler Institute for Integrative Genomics at Princeton University

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Quick links

• Explore articles by subject
• Guide to authors
• Editorial policies

Sākums > Blog > Vai ChatGPT ir plaģiāts?

Vai ChatGPT ir plaģiāts?

• Smodin redakcijas komanda
• Atjaunots: Augusts 13, 2024
• Viss par saturu un rakstīšanu

Miljoniem studentu mūsdienās ir privilēģija mācīties, izmantojot AI rīkus. Ja esat viens no viņiem, šis raksts ir paredzēts jums. Šobrīd ir grūtāk atrast kādu, kurš nav spēlējies ar AI rakstīšanas programmatūru, piemēram, ChatGPT!

AI rīku pieaugums ir radījis tikpat daudz jautājumu, cik atbilžu tas mums ir devis. ChatGPT var būt neticami noderīgs ikdienas atbildēm un ātriem risinājumiem, taču cik tas ir noderīgs eseju un ziņojumu rakstīšanai? Vai ChatGPT ir plaģiāts? Tās vieta akadēmiskajā pasaulē joprojām atrodas nedaudz pelēkā zonā.

Šajā rakstā mēs apskatīsim, kā darbojas ChatGPT, kas ir plaģiāts un kā atbildīgi izmantot AI rakstīšanas rīkus.

Kas ir ChatGPT?

ChatGPT ir AI valodas modelis, ko izveidojis OpenAI. Tas ģenerē tekstu, pamatojoties uz datiem, kas tika apmācīti. Šis AI rīks var rakstīt esejas, atbildēt uz jautājumiem un pat tērzēt ar jums kā ar cilvēku.

ChatGPT izmanto mašīnmācīšanos, lai paredzētu un ģenerētu tekstu. Tas padara to par spēcīgu AI satura ģeneratoru. Atšķirībā no vienkāršiem tērzēšanas robotiem, ChatGPT var saprast un ģenerēt cilvēku valodu konkrētos kontekstos. Šo iespēju nodrošina apmācības dati, kas ietver grāmatas, rakstus un vietnes.

ChatGPT ir liels valodas modelis, kas izmanto progresīvu AI tehnoloģiju. Tā ir daļa no jaunas paaudzes AI rīkiem, kas pārveido satura izveidi. AI valodu modeļi, piemēram, ChatGPT, ir izstrādāti, lai atdarinātu cilvēku valodas modeļus. Tas padara tos efektīvus unikāla teksta ģenerēšanā, pamatojoties uz uzvednēm.

Vai ChatGPT plaģiātu?

Chat GPT nav plaģiāts tradicionālajā izpratnē. Tas nekopē un neielīmē esošo saturu. Tā vietā tas ģenerē jaunu tekstu, pamatojoties uz modeļiem, kas iegūti no lielas datu kopas. Tomēr tas var radīt tekstu, kas ir ļoti līdzīgs esošajam saturam. Tas var būt problemātiski studentiem, kuri savu eseju rakstīšanā paļaujas tikai uz ChatGPT.

ChatGPT atbildes tiek ģenerētas, pamatojoties uz vārdu secību varbūtībām. Piemēram, ja tiek jautāts par Amerikas pilsoņu karu, tas var radīt tekstu, kas līdzīgs esošajām esejām. Tas notiek tāpēc, ka tas tika apmācīts par daudziem tekstiem par šo tēmu.

ChatGPT izmanto apmācību datus, lai ģenerētu tekstu, taču tas tieši nekopē neviena cita darbu. Ir svarīgi saprast, ka ChatGPT ģenerētais saturs ir unikāls, taču dažreiz tas var atgādināt kāda cita darbu. Tas notiek tāpēc, ka tas tika apmācīts par daudziem datiem, tostarp grāmatām, rakstiem un vietnēm.

ChatGPT ir paredzēts oriģinālā teksta izveidei, taču tas nav ideāls! Lai nodrošinātu, ka ChatGPT ģenerētajā saturā nav plaģiāta, vienmēr pārbaudiet AI ģenerējiet tekstu pats un mēģiniet to humanizēt un, pats galvenais, izmantojiet plaģiāta noteikšanas rīkus. Šie rīki var palīdzēt noteikt jebkādas līdzības starp ģenerēto saturu un esošajiem darbiem.

Plaģiāta noteikšanas programmatūras izmantošana

Labā ziņa ir tā, ka ir pieejami daudzi rīki, lai pārbaudītu, vai ChatGPT izvade nav plaģiāta. Šie rīki skenē jūsu tekstu un salīdzina to ar lielu esošo darbu datu bāzi.

Parasti AI noteikšanas programmatūras rīki sniegs jums procentuālo līdzības punktu skaitu ar esošajiem tekstiem. Sīkāk apskatīsim plaģiāta pārbaudītāju darbību, kā arī dažus populārākos pieejamos rīkus.

Kas ir plaģiāta pārbaudītājs?

Plaģiāta pārbaudītājs ir rīks, kas palīdz noskaidrot, vai jūsu darbs ir oriģināls. Tas salīdzina jūsu tekstu ar citiem tekstiem savā datubāzē. Tas var palīdzēt izvairīties no citas personas darba izmantošanas bez atbilstoša attiecinājuma.

Digitālajā laikmetā ir ļoti svarīgi izmantot uzticamus plaģiāta noteikšanas rīkus. Šie rīki palīdz saglabāt akadēmisko integritāti, nodrošinot satura oriģinālu. Plaģiāta noteikšanas rīki salīdzina tekstu ar esošo saturu un izceļ līdzības. Tas palīdz lietotājiem izvairīties no netīša plaģiāta un pareizi attiecināt avotus.

Izmantojot plaģiāta noteikšanas programmatūru, jūsu darbs ir oriģināls. Tādi rīki kā Turnitin, Scribbr un Grammarly ir vērtīgi, lai pārbaudītu tekstu ar plašu esošo darbu datu bāzi. Izmantojot šos rīkus, varat droši izveidot saturu bez plaģiāta un nodrošināt, ka jūsu profesors neatklāj AI.

Labākā plaģiāta dambrete

Lai nodrošinātu, ka jūsu darbs ir oriģināls, ir ļoti svarīgi atrast labāko plaģiāta pārbaudītāju. Ja rakstāt akadēmisku darbu, iespējams, pat ir vērts veikt savu darbu, izmantojot vairākus pārbaudītājus. Tādi rīki kā Copyleaks ir lieliska bezmaksas iespēja . Šeit ir dažas no populārākajām iespējām, lai pārbaudītu, vai jūsu darbs nav plaģiāts.

1. Turnitīns

Turnitīns to plaši izmanto skolas un universitātes. Tam ir liela avotu datu bāze, un tā var precīzi noteikt gan tiešas kopijas, gan pārfrāzēšanu. Tas tiek uzskatīts par vienu no labākajiem akadēmiskās integritātes plaģiāta pārbaudītājiem.

Scribbr plaģiāta pārbaudītājs ir pazīstams ar savu precizitāti un visaptverošo datu bāzi. Tas var atklāt plaģiātu gan tiešās kopijās, gan smagi rediģētos tekstos. Tas ir uzticams plaģiāta pārbaudītājs rūpīgām pārbaudēm.

Scribbr ir arī viens no labākie AI satura noteikšanas rīki skolotājiem un to plaši izmanto, lai pārbaudītu studentu darbu attiecībā uz AI.

3. Grammarly

Grammarly ir populārs universāls rakstīšanas rīks, kas ietver plaģiāta pārbaudītāju. Tas nav tik visaptverošs kā Scribbr, bet ir labs risinājums pamata plaģiāta pārbaudei. Gramatika arī palīdz uzlabot gramatiku un stilu.

Izmantojot atbilstošus plaģiāta noteikšanas rīkus, varat nodrošināt, ka veicat darbu bez plaģiāta.

ChatGPT izmantošanas paraugprakse

Vai AI saturā nav plaģiāta? Lietojot ChatGPT, ir jāpatur prātā dažas lietas, piemēram:

• Izmantojiet to kā izpētes rīku: Ļaujiet ChatGPT jums palīdzēt apkopot idejas un informāciju.
• Nekopējiet un neielīmējiet: vienmēr pārrakstiet izveidoto saturu saviem vārdiem.
• Pārbaudiet, vai nav plaģiāta: izmantojiet uzticamu plaģiāta pārbaudītāju, lai nodrošinātu oriģinalitāti un noņemt AI plaģiātu ja nepieciešams.

Biežāk uzdotie jautājumi

Vai chatgpt var sniegt vienu un to pašu atbildi dažādiem lietotājiem.

ChatGPT atbildes var atšķirties atkarībā no ievades. Divi lietotāji, kas uzdod vienu un to pašu jautājumu, var saņemt dažādas atbildes.

Vai ChatGPT izmantošana tiek uzskatīta par plaģiātu?

ChatGPT izmantošana nav plaģiāts, ja pareizi piešķirat AI rīku un izveidojat unikālu saturu.

Kā es varu izvairīties no ChatGPT plaģiāta?

Izmantojiet ChatGPT kā ceļvedi, nevis avotu, no kura kopēt. Vienmēr pārbaudiet savu darbu ar plaģiāta pārbaudītāju.

Kādi ir daži labi plaģiāta noteikšanas rīki?

Turnitin, Grammarly un Scribbr ir uzticami plaģiāta noteikšanas rīki.

Vai skolotāji var noteikt, vai manu darbu ģenerēja ChatGPT?

Jā, tā kā AI noteikšanas rīki kļūst arvien modernāki, skolotāji var identificēt AI radīto saturu.

Pārliecinieties, ka jūsu raksts ir oriģināls ar Smodin

Nevar noliegt, ka ChatGPT ir spēcīgs AI valodas modelis, kas var palīdzēt ideju rakstīšanā un ģenerēšanā. Tomēr ir ļoti svarīgi to izmantot atbildīgi, lai izvairītos no plaģiāta. Tas nozīmē saprast, ka, lai gan ChatGPT nekopē un neielīmē tekstu, tas var radīt saturu, kas līdzīgs esošajiem avotiem.

Lai nodrošinātu, ka saturs ir oriģināls, vienmēr pārbaudiet savu darbu, izmantojot plaģiāta pārbaudītāju. Plaģiāta noteikšanas rīki, piemēram, Turnitin, Scribbr un Grammarly, var skenēt jūsu tekstu plašās esošo darbu datubāzēs. Šis process palīdz atklāt visas netīšas līdzības un ļauj attiecīgi pārskatīt tekstu.

Atbildīga AI rīku izmantošana var uzlabot jūsu rakstīšanu un izpēti, neapdraudot oriģinalitāti. Ja tagad jūtaties gatavs uzlabot savas rakstīšanas prasmes, izmēģiniet Smodin's AI. Šis rakstīšanas rīks viegli izveidos oriģinālu, augstas kvalitātes saturu! Apskatiet Smodin tagad un pārveidot savu rakstīto!

How to cite ChatGPT

Use discount code STYLEBLOG15 for 15% off APA Style print products with free shipping in the United States.

We, the APA Style team, are not robots. We can all pass a CAPTCHA test , and we know our roles in a Turing test . And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT . We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback.

In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.

Quoting or reproducing the text created by ChatGPT in your paper

If you’ve used ChatGPT or other AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your paper. For literature reviews or other types of essays or response or reaction papers, you might describe how you used the tool in your introduction. In your text, provide the prompt you used and then any portion of the relevant text that was generated in response.

Unfortunately, the results of a ChatGPT “chat” are not retrievable by other readers, and although nonretrievable data or quotations in APA Style papers are usually cited as personal communications , with ChatGPT-generated text there is no person communicating. Quoting ChatGPT’s text from a chat session is therefore more like sharing an algorithm’s output; thus, credit the author of the algorithm with a reference list entry and the corresponding in-text citation.

When prompted with “Is the left brain right brain divide real or a metaphor?” the ChatGPT-generated text indicated that although the two brain hemispheres are somewhat specialized, “the notation that people can be characterized as ‘left-brained’ or ‘right-brained’ is considered to be an oversimplification and a popular myth” (OpenAI, 2023).

OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat

You may also put the full text of long responses from ChatGPT in an appendix of your paper or in online supplemental materials, so readers have access to the exact text that was generated. It is particularly important to document the exact text created because ChatGPT will generate a unique response in each chat session, even if given the same prompt. If you create appendices or supplemental materials, remember that each should be called out at least once in the body of your APA Style paper.

When given a follow-up prompt of “What is a more accurate representation?” the ChatGPT-generated text indicated that “different brain regions work together to support various cognitive processes” and “the functional specialization of different regions can change in response to experience and environmental factors” (OpenAI, 2023; see Appendix A for the full transcript).

Creating a reference to ChatGPT or other AI models and software

The in-text citations and references above are adapted from the reference template for software in Section 10.10 of the Publication Manual (American Psychological Association, 2020, Chapter 10). Although here we focus on ChatGPT, because these guidelines are based on the software template, they can be adapted to note the use of other large language models (e.g., Bard), algorithms, and similar software.

The reference and in-text citations for ChatGPT are formatted as follows:

• Parenthetical citation: (OpenAI, 2023)
• Narrative citation: OpenAI (2023)

Let’s break that reference down and look at the four elements (author, date, title, and source):

Author: The author of the model is OpenAI.

Date: The date is the year of the version you used. Following the template in Section 10.10, you need to include only the year, not the exact date. The version number provides the specific date information a reader might need.

Title: The name of the model is “ChatGPT,” so that serves as the title and is italicized in your reference, as shown in the template. Although OpenAI labels unique iterations (i.e., ChatGPT-3, ChatGPT-4), they are using “ChatGPT” as the general name of the model, with updates identified with version numbers.

The version number is included after the title in parentheses. The format for the version number in ChatGPT references includes the date because that is how OpenAI is labeling the versions. Different large language models or software might use different version numbering; use the version number in the format the author or publisher provides, which may be a numbering system (e.g., Version 2.0) or other methods.

Bracketed text is used in references for additional descriptions when they are needed to help a reader understand what’s being cited. References for a number of common sources, such as journal articles and books, do not include bracketed descriptions, but things outside of the typical peer-reviewed system often do. In the case of a reference for ChatGPT, provide the descriptor “Large language model” in square brackets. OpenAI describes ChatGPT-4 as a “large multimodal model,” so that description may be provided instead if you are using ChatGPT-4. Later versions and software or models from other companies may need different descriptions, based on how the publishers describe the model. The goal of the bracketed text is to briefly describe the kind of model to your reader.

Source: When the publisher name and the author name are the same, do not repeat the publisher name in the source element of the reference, and move directly to the URL. This is the case for ChatGPT. The URL for ChatGPT is https://chat.openai.com/chat . For other models or products for which you may create a reference, use the URL that links as directly as possible to the source (i.e., the page where you can access the model, not the publisher’s homepage).

Other questions about citing ChatGPT

You may have noticed the confidence with which ChatGPT described the ideas of brain lateralization and how the brain operates, without citing any sources. I asked for a list of sources to support those claims and ChatGPT provided five references—four of which I was able to find online. The fifth does not seem to be a real article; the digital object identifier given for that reference belongs to a different article, and I was not able to find any article with the authors, date, title, and source details that ChatGPT provided. Authors using ChatGPT or similar AI tools for research should consider making this scrutiny of the primary sources a standard process. If the sources are real, accurate, and relevant, it may be better to read those original sources to learn from that research and paraphrase or quote from those articles, as applicable, than to use the model’s interpretation of them.

We’ve also received a number of other questions about ChatGPT. Should students be allowed to use it? What guidelines should instructors create for students using AI? Does using AI-generated text constitute plagiarism? Should authors who use ChatGPT credit ChatGPT or OpenAI in their byline? What are the copyright implications ?

On these questions, researchers, editors, instructors, and others are actively debating and creating parameters and guidelines. Many of you have sent us feedback, and we encourage you to continue to do so in the comments below. We will also study the policies and procedures being established by instructors, publishers, and academic institutions, with a goal of creating guidelines that reflect the many real-world applications of AI-generated text.

For questions about manuscript byline credit, plagiarism, and related ChatGPT and AI topics, the APA Style team is seeking the recommendations of APA Journals editors. APA Style guidelines based on those recommendations will be posted on this blog and on the APA Style site later this year.

Update: APA Journals has published policies on the use of generative AI in scholarly materials .

We, the APA Style team humans, appreciate your patience as we navigate these unique challenges and new ways of thinking about how authors, researchers, and students learn, write, and work with new technologies.

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

Related and recent

Comments are disabled due to your privacy settings. To re-enable, please adjust your cookie preferences.

APA Style Monthly

Subscribe to the APA Style Monthly newsletter to get tips, updates, and resources delivered directly to your inbox.

Welcome! Thank you for subscribing.

APA Style Guidelines

Browse APA Style writing guidelines by category

• Abbreviations
• Bias-Free Language
• Capitalization
• In-Text Citations
• Italics and Quotation Marks
• Paper Format
• Punctuation
• Research and Publication
• Spelling and Hyphenation
• Tables and Figures

Full index of topics

Have a language expert improve your writing

Check your paper for plagiarism in 10 minutes, generate your apa citations for free.

• Knowledge Base

Using AI tools

How to Write a Paper with ChatGPT | Tips & Examples

Published on August 17, 2023 by Koen Driessen . Revised on November 16, 2023.

A good research paper demonstrates your academic writing skills and knowledge of your chosen topic.

Your research paper should be based on in-depth independent research. However, generative AI tools like ChatGPT can be effectively used throughout the research process to:

• Brainstorm research questions
• Develop a methodology
• Create an outline
• Find sources
• Summarize and paraphrase text
• Provide feedback

Instantly correct all language mistakes in your text

Upload your document to correct all your mistakes in minutes

Table of contents

Brainstorming research questions, developing a methodology, creating an outline, finding sources, summarizing or paraphrasing text, receiving feedback, other interesting articles, frequently asked questions.

You can use ChatGPT to help formulate research questions , brainstorm potential thesis statements , or narrow down a broad subject area to a specific topic that interests you.

However, make sure that the outputs make sense and meet the requirements of your assignment. You can adapt these outputs manually, or use further prompts to ensure they meet your needs. For more information, see our tips for creating effective ChatGPT prompts .

• Generate three possible research questions for a research paper on the following topic: “The role of virtual reality in enhancing training and skill development in various industries.”
• “What are the cognitive and skill development benefits of virtual reality-based training compared to traditional training methods across different industries?”
• “How does the level of immersion in virtual reality training impact knowledge retention and skill transfer in fields such as medicine, aviation, and manufacturing?”
• “What are the key factors that influence the successful integration and adoption of virtual reality technology for training purposes in diverse industries, and what challenges hinder its widespread implementation?”

Don't submit your assignments before you do this

The academic proofreading tool has been trained on 1000s of academic texts. Making it the most accurate and reliable proofreading tool for students. Free citation check included.

Try for free

Your paper should clearly indicate the data collection and analysis methods you used in your research.

You can use ChatGPT to help decide what kind of research you will conduct (e.g., qualitative or quantitative ), how you will analyze the data, and how you will mitigate potential research bias .

Bear in mind that you should be able to rationalize your chosen methodology . For example, you should ensure that it is either a standard methodology in the field or can be justified.

• Suggest three quantitative research methods appropriate to the following question: “What are the cognitive and skill development benefits of virtual reality-based training compared to traditional training methods in the field of healthcare?”
• Experimental Study: Conduct a randomized controlled trial (RCT) where healthcare professionals are randomly assigned to either a virtual reality-based training group or a traditional training group. Both groups would receive training in specific healthcare tasks, and their cognitive and skill development outcomes would be measured and compared. Performance metrics, such as accuracy, speed, and efficiency, could be quantitatively assessed to determine the benefits of virtual reality-based training over traditional methods.
• Survey Research: Design a comprehensive survey targeting healthcare professionals who have undergone both virtual reality-based training and traditional training. The survey could include Likert-scale questions and structured response options to gauge their perceived cognitive and skill development benefits from each training method. Additionally, open-ended questions could be included to gather qualitative insights on specific strengths and weaknesses of each training approach.
• Task Performance Analysis: Implement a task-based assessment that simulates real-life healthcare scenarios, where participants are evaluated on their ability to handle critical situations. Participants would go through both virtual reality-based training and traditional training before being assessed in the simulated scenarios. Their performance in the assessment could be objectively measured using predefined criteria, allowing for a quantitative comparison of skill development between the two training methods.

A clear outline can help structure your paper, organize your arguments effectively, and make your research more efficient.

You can use generative AI tools like ChatGPT to formulate a potential outline to help guide your research. You can be as specific as you like, giving an overview of your research objectives , main arguments, and any evidence you intend to include in your paper.

However, ChatGPT outputs sometimes contain factual inaccuracies. It’s important to check the headings and subheadings suggested in the output and adapt them to meet your needs.

• Create an outline for an academic research paper with the following research question:“What are the cognitive and skill development benefits of virtual reality-based training compared to traditional training methods in the field of healthcare?”The paper will be about 10 pages long.

A. Theoretical basis for cognitive and skill development in training

B. Application of cognitive theories to virtual reality-based training

C. The role of immersive learning environments in skill acquisition

D. Conceptual framework for the study

IV. Research Methodology

A. Research design and approach (e.g., quasi-experimental, pre-post intervention)

B. Selection of participants and sample size calculation

C. Description of the virtual reality-based training and traditional training programs

D. Instruments and measures for assessing cognitive and skill development

E. Data collection procedures and ethical considerations

V. Data Analysis

A. Overview of statistical methods used for data analysis

B. Treatment of data and data cleaning

C. Quantitative analysis of cognitive and skill development outcomes

D. Presentation of findings with charts and tables

VI. Results

A. Presentation of the results of the cognitive and skill development assessments

B. Comparison of outcomes between virtual reality-based training and traditional training

C. Statistical significance and effect size analysis

D. Interpretation of the results and implications

VII. Discussion

A. Interpretation of findings in the context of the research question

B. Comparison of results with existing literature

C. Explanation of how virtual reality-based training impacts cognitive processes and skill development

D. Limitations of the study and areas for future research

VIII. Practical Implications

A. Practical applications of virtual reality-based training in healthcare settings

B. Recommendations for integrating virtual reality training in healthcare education

C. Benefits of virtual reality for continuous professional development in healthcare

IX. Conclusion

A. Summary of key findings

B. Reiteration of the research question and hypothesis

C. Contributions of the study to the field of healthcare training

D. Concluding remarks

X. References

You can use ChatGPT to help find sources relevant to your research. However, it’s important to be aware of the limitations of ChatGPT (for example, it occasionally cites nonexistent sources).

Instead of asking ChatGPT for specific source recommendations, try asking it for recommendations on the types of sources relevant to your research topic. You can also use it to generate a list of relevant keywords to use in your literature search.

• What types of sources could I use to write a research paper on the following research question?“What are the cognitive and skill development benefits of virtual reality-based training compared to traditional training methods in the field of healthcare?”
• Academic Journals: Peer-reviewed journals are valuable sources of scholarly research. Look for articles in medical education, cognitive psychology, virtual reality applications in healthcare, and technology-enhanced learning.
• Research Studies: Seek out published research studies that specifically investigate the impact of virtual reality-based training on cognitive and skill development in healthcare professionals.
• Systematic Reviews and Meta-Analyses: These studies provide comprehensive overviews of existing research on a specific topic, making them a valuable source for summarizing and analyzing the overall evidence.
• Books and Book Chapters: Academic books and book chapters authored by experts in the fields of medical education, virtual reality, cognitive science, or instructional design can provide in-depth insights and theoretical foundations.
• Conference Proceedings: Proceedings from relevant conferences and symposiums may present the latest findings and advancements in virtual reality-based training and healthcare education.
• Educational Institution Websites: Universities and medical schools often publish research papers, case studies, and whitepapers related to medical education and virtual reality training.
• Industry Reports: Reports and whitepapers from healthcare organizations or technology companies exploring the benefits of virtual reality-based training in the healthcare sector.
• Government and Non-profit Organizations: Look for reports and publications from government agencies and non-profit organizations that focus on medical education and healthcare training.
• Online Databases: Utilize academic databases such as PubMed, Google Scholar, IEEE Xplore, and ScienceDirect to search for peer-reviewed research articles and conference papers.
• Expert Interviews: If possible, conduct interviews with experts in medical education, cognitive science, and virtual reality to gain valuable insights and perspectives.
• Surveys and Polls: Refer to reputable surveys and polls related to virtual reality-based training in the healthcare industry for additional statistical data.

Check for common mistakes

Use the best grammar checker available to check for common mistakes in your text.

Fix mistakes for free

You can use ChatGPT to paraphrase or summarize text. This can help you to condense sources to their most important points and explore new ways of expressing your ideas.

Alternatively you can use the more specialized tools featured on Scribbr’s AI writing resources page (including Scribbr’s free text summarizer  and  Scribbr’s free paraphrasing tool ) which are designed specifically for these purposes and will give a smoother user experience.

• Provide a short summary of the following text:“One of the most profound applications of VR in healthcare is its use in surgical training. Traditionally, surgical training has relied on a combination of didactic lectures, observation of procedures, and hands-on experience in the operating room. However, these methods may not provide the ideal environment for novices to develop the necessary dexterity and spatial understanding essential for complex surgeries. VR overcomes these limitations by offering immersive, true-to-life simulations that allow surgeons to navigate through intricate anatomical structures, practice incisions, and learn to manage unexpected challenges that may arise during surgeries. This hands-on experience in a risk-free environment not only enhances technical skills but also builds confidence and reduces the learning curve for new surgical techniques.”
• Virtual Reality (VR) has a profound impact on healthcare, particularly in surgical training, as it provides immersive simulations that help surgeons develop dexterity, spatial understanding, and confidence for complex surgeries in a risk-free environment, ultimately enhancing their technical skills and reducing the learning curve.

When you’ve finished writing your research paper, you can use ChatGPT to receive feedback. You can be as specific as you like, selecting particular aspects the output should focus on (e.g., tone, clarity of structure, appropriateness of evidence to support your arguments).

You can also use ChatGPT to check grammar, spelling, and punctuation. However, it’s not designed for this purpose and occasionally misses errors. We recommend using a more specialized tool like Scribbr’s free grammar checker . Or, for more comprehensive feedback, Scribbr’s proofreading and editing service .

• Feedback the above text with regard to appropriateness of evidence and coherence of structure.
• The research paper demonstrates a well-structured and coherent presentation of the cognitive and skill development benefits of VR-based surgical training. The introduction effectively sets the context and rationale, while the literature review incorporates relevant historical and empirical evidence. The theoretical framework strengthens the foundation for the analysis.The methodology section could provide more details on the research design and study selection criteria. However, the sections on cognitive and skill development benefits present compelling evidence, supported by appropriate sub-sections.The exploration of improved patient outcomes lacks concrete examples but effectively outlines potential benefits. The section on challenges and future directions raises relevant points, but suggestions for solutions could enhance practicality.Overall, the paper combines theoretical, empirical, and practical evidence, offering a well-rounded approach. It establishes the significance of VR-based surgical training and concludes with a concise summary of key findings.

If you want more tips on using AI tools , understanding plagiarism , and citing sources , make sure to check out some of our other articles with explanations, examples, and formats.

• Citing ChatGPT
• Best grammar checker
• Best paraphrasing tool
• ChatGPT in your studies
• Is ChatGPT trustworthy?
• Types of plagiarism
• Self-plagiarism
• Avoiding plagiarism
• Academic integrity
• Best plagiarism checker

Citing sources

• Citation styles
• In-text citation
• Citation examples
• Annotated bibliography

Yes, you can use ChatGPT to summarize text . This can help you understand complex information more easily, summarize the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summarizer , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialized tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

No, it’s not a good idea to do so in general—first, because it’s normally considered plagiarism or academic dishonesty to represent someone else’s work as your own (even if that “someone” is an AI language model). Even if you cite ChatGPT , you’ll still be penalized unless this is specifically allowed by your university . Institutions may use AI detectors to enforce these rules.

Second, ChatGPT can recombine existing texts, but it cannot really generate new knowledge. And it lacks specialist knowledge of academic topics. Therefore, it is not possible to obtain original research results, and the text produced may contain factual errors.

However, you can usually still use ChatGPT for assignments in other ways, as a source of inspiration and feedback.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

Driessen, K. (2023, November 16). How to Write a Paper with ChatGPT | Tips & Examples. Scribbr. Retrieved August 12, 2024, from https://www.scribbr.com/ai-tools/chatgpt-research-paper/

Is this article helpful?

Koen Driessen

Other students also liked, how to write good chatgpt prompts, chatgpt citations | formats & examples, what are the limitations of chatgpt, get unlimited documents corrected.

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

• Entertainment
• Photos/Videos
• Newsletters
• For Subscribers
• Contributor Content