Lesson 1061 of 1455
AI and spotting fake studies: predatory journals and made-up stats
AI helps you sniff out predatory journals, fake citations, and made-up statistics.
Builders · Research & Analysis · ~4 min read
The big idea
Some 'research' is in fake academic journals, some uses bad stats, and some has been retracted. AI can help you check before you cite a study that turns out to be junk in your paper.
How to use it
- Ask AI to check if a journal is on the Beall's List of predatory pubs
- Ask AI to flag retraction status of a paper
- Ask AI to explain p-hacking and what it looks like in a study
- Ask AI to find the retraction notice if there is one
Try it
Find a study cited in a viral post. Ask AI to check the journal, retraction status, and sample size. Report what you find.
Key terms in this lesson
Practice this safely
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
- 1Ask AI to explain predatory journal in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI and spotting fake studies: predatory journals and made-up stats" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check p-hacking against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
8 questions · Score saves to your progress.
Lesson help
Questions are best handled with a grown-up here.
For this age range, Tendril keeps freeform AI chat paused until parent/guardian consent and child-safe moderation are fully verified. Use the quiz, notes, and related lessons below, or ask a parent, guardian, teacher, or librarian to work through the question with you.
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