First AI tool to detect suspicious peer reviews rolled out by academic publisher
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First AI tool to detect suspicious peer reviews rolled out by academic publisher
"The AI tool identified nearly 2,500 reports that had at least 60% overlap with former reviewer reports, of which 785 reports had at least 80% overlap. Of the flagged cases, 89 were exact duplicates."
"Peer-review process fraud is equally as important and targeted probably more often than you think by bad actors, said Lauren Flintoft, the IOPP's research integrity manager."
"Two studies discovered hundreds of reviews for manuscripts across different publishers that seem to have been copied from a template, containing similar wording or identical typos."
An AI tool developed by the Institute of Physics Publishing identifies duplicate or suspicious peer-review reports to combat integrity issues in academic publishing. The tool uncovered nearly 2,500 reports with significant overlap in a study of half a million reports. The IOPP plans to implement this technology across all its journals. Research has shown that many peer reviews exhibit template-like similarities, raising concerns about the integrity of the peer-review process, which is often targeted by bad actors.
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