Mushtaq Bilal, PhD Profile picture
Feb 14, 2023 23 tweets 6 min read Read on X
Two tools to detect if a text has been generated by ChatGPT (and why you should use them *very* cautiously):
1. GPTZero created by Edward Tian A screenshot of the homepage of GPTZero.
I took an abstract of one of my papers and ran it through GPTZero. A red rectangle highlights the abstract of one of Mushtaq's
GPTZero said the text was "likely to be written entirely by a human."

This is correct and useful information. GPTZero saying the abstract of Mushtaq's paper is likely to
GPTZero also gives scores for "Perplexity" and "Burstiness" of a text.

Perplexity measures the randomness in a text, and burstiness the variation in perplexity.

Understandably, both perplexity and burstiness scores are quit high for my abstract. Perplexity and burstiness scores for Mushtaq's abstract.
Next I asked a ChatGPT to generate a short text. A text generated by ChatGPT.
GPTZero said the text was likely to be written entirely by AI, which is correct. GPTZero's message that a certain text is likely to be writte
The perplexity and burstiness scores are quite low for a text generated by ChatGPT. Perplexity and burstiness scores for a text generated by Cha
But both of these are zero-sum examples:

What if I use ChatGPT smartly not to generate text but to *edit* it.

Example: I gave a talk and transcribed it.
I ran the transcription through ChatGPT to remove redundant words and sentences.

This is how the transcription looked after getting edited by ChatGPT.
I took the first three paragraphs and ran them through GPTZero. An image of an MS Word document.
GPTZero said the text was most likely written by a human but there were some sentences with low perplexity.

It highlighted the sentence with low perplexity. GPTZero's message that a certain text is most likely human w
The score for perplexity of this text is 78.222 and burstiness 63.655.

I'm not sure if these are "good" scores because GPTZero doesn't give any thresholds. Perplexity and burstiness scores for a certain text.
2. GPT Detector developed by the wonderful folks at Writefull. A screenshot of Writefull's GPT Detector.
I ran the same abstract through GPT Detector.

It said 1% of the text was likely to have been generated by ChatGPT.

This is useful although (ideally) it should've been 0%. "1% likely this comes from GPT-3 or ChatGPT."
Next I ran a text generated by ChatGPT through the GPT Detector.

It said 62% of the text was likely to have been generated by ChatGPT.

This should've been 100%. "62% likely this comes from GPT-3 or ChatGPT."
For the paragraphs edited by ChatGPT, GPT Detector said 3% of the text had come from ChatGPT. "3% likely this comes from GPT-3 or ChatGPT."
So, what are the implications of using ChatGPT and GPT detectors for teachers and students?

Here are my recommendations:
For students:

Do NOT use ChatGPT to *write* assignments, papers, or exams.

ChatGPT is not created for academic purposes.

Do the hard work, learn how to write, and (most importantly) don't be a dumbass.

Use it smartly 👇

For teachers:

GPT detectors are useful but not reliable enough for you to base students' grades on perplexity and burstiness scores.

Don't forget to use your own judgement.

It's quite easy to game GPT detectors.
For academia in general:

Advanced writing skills should only be taught to those who *want* to learn them.

Don't make them compulsory.

A vast majority of students will never need to write essays and book reports in their lives.
Because writing is compulsory, students resent it and that's they reason many try to cheat.

Don't police students.

Ask students what they want to do.

Then help them with it. That's it.
Found this thread useful?

1. Scroll to the top and press the "Like" button on the first tweet.

2. Follow me @MushtaqBilalPhD for regular threads like this.

3. See my pinned tweet to learn more about AI-powered academic writing.

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More from @MushtaqBilalPhD

Jun 7
Finding papers for literature review, downloading them, and organizing them takes time, a lot of time.

Genspark's Download Agent automates this whole process.

It searches relevant papers, downloads, and organize them in folders with a single prompt.

Here's how to use it:
1. Go to and sign up for a free account. genspark.ai
2. In the search bar, type in your research topic and ask Genspark Super Agent to download relevant papers. That's it.

It will search the web and download the papers.
Read 11 tweets
Jun 2
Chat Academia now offers a FREE plan.

• Brainstorm research questions
• Run searches across multiple databases
• Generate literature maps
• Extract relevant information from papers

Here's how to use Chat Academia for free:A red rectangle highlights the free plan on Chat Academia's pricing page.
1. Go to and click on "Get started."

Select the free plan. chatacademia.com
2. Select "Research Gap Finder" and click on "Create session."

Type in the topic of your research project.

It will give you a list of potential research quesions. Go through them and select one you find more intersting.
Read 7 tweets
May 25
Finding common themes across papers and extracting relevant information takes a lot of time and effort.

Chat Academia now lets you do this in a matter of minutes.

Upload papers, identify themes, and it will give you a table with required information.

Here's how to use it: A table generated by Chat Academia containing columns for summary, obbjectives, conclusion, and intervention for multiple academic papers.
1. Go to and sign in to your account.

On the homepage, you will see an option "Paper Table." chatacademia.com
2. Click on "Paper Table" and then "Create a new table" in the top-right corner.
Read 11 tweets
May 16
Mapping connections between research topics and publications is a time-consuming task.

NextNet is an AI app that can help you with it. It lets you run visual searches for topics related to life sciences.

It's free and very easy to use: A graph generated by NextNet.
1. Go to getnextnet[.]com and click on "Get NextNet free."

Sign up for a free account.
2. Select "Explorer" in the left bar and type in your query.

NextNet will generate a graph containing nodes about diseases, drugs, genes, research publications, and so on.
Read 6 tweets
May 15
Finding research gaps takes a lot of time and labor.

Research Kick can help you with it.

It analyzes millions of papers in Google Scholar, Semantic Scholar, and PubMed to help you find research gaps — in minutes.

Here's how to use it: A screenshot of Research Kick showing that a research question has not been adequately answered in published literature.
1. Go to and click on "Get started."

Sign up with your email or Google account.

To use the app, you will need to buy a subscription plan:

10,000 credits for $9/month
120,000 credits for $99/year researchkick.com
2. This is how your Research Kick would look like.

It offers multiple LLMs including ChatGPT, Claude, Gemini.

Select a model you want to use.
Read 10 tweets
May 15
Most AI apps for research need paid subscriptions, but Bohrium is free.

• Integrates Deep Seek with databases containing 160M+ papers.

• Answers questions with references to published papers.

Here's how to use Bohrium to supercharge your literature discovery:
1. Go to bohrium(dot)com and click on "Log in" in the bottom-left corner.

Enter your email to sign up for a free account.
2. In the bottom of the chat box, you will see options for AI models and databases.

Bohrium has integrated databases for natural sciences, engineering, life sciences, and the humanities.

Select "DeepThink" for detailed answers.
Read 8 tweets

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