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Journals’ Plagiarism Detectors May Flag Papers in Error

One recent case, in which a scientist claims his submitted manuscript was rejected despite a lack of actual plagiarism, highlights the limitations of automated tools.

Written byDiana Kwon
| 3 min read
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Last week, Jean-François Bonnefon, a behavioral scientist at the French Centre National de la Recherche Scientifique, tweeted that a scientific manuscript he submitted to a journal had been rejected by a bot. The program had flagged his paper for plagiarism, highlighting the methods, references, and authors’ affiliations. “It would have taken 2 [minutes] for a human to realize the bot was acting up,” Bonnefon wrote in one of his tweets. “But there is obviously no human in the loop here.”

In a massive Twitter thread that followed, several other academics noted having similar experiences.

“I found [Bonnefon’s] experience quite disconcerting,” Bernd Pulverer, chief editor of The EMBO Journal, writes in an email to The Scientist. “Despite all the AI hype, we are miles from automating such a process.” Plagiarism is a complex issue, he adds, and although tools to identify text duplication are an invaluable resource ...

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Meet the Author

  • Diana is a freelance science journalist who covers the life sciences, health, and academic life. She’s a regular contributor to The Scientist and her work has appeared in several other publications, including Scientific American, Knowable, and Quanta. Diana was a former intern at The Scientist and she holds a master’s degree in neuroscience from McGill University. She’s currently based in Berlin, Germany.

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