• Email Bluesky Facebook LinkedIn Reddit Whatsapp X Illustration: The Project Twins From the low-quality output of paper mills to increasingly convincing content generated by artificial intelligence, peer reviewers are being inundated with questionable research manuscripts. • A growing number of AI tools can detect fraudulent elements in papers, but they can be expensive to use. • Such tools are probably better deployed by journal publishers rather than individual reviewers, says Elisabeth Bik, a science-integrity consultant in San Francisco, California, especially because feeding unpublished content into AI tools can compromise confidentiality and is generally frowned on during peer review. • What makes an undercover science sleuth tick? • Fake-paper detective speaks out What makes an undercover science sleuth tick? • Fake-paper detective speaks out The good news is that recognizing a problematic manuscript is “way easier than you would believe”, says Reese Richardson, a metascientist at Northwestern University in Evanston, Illinois.

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  • 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. From the low-quality output of paper mills to increasingly convincing content generated by artificial intelligence, peer reviewers are being inundated with questionable research manuscripts. A growing number of AI tools can detect fraudulent elements in papers, but

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