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  1. ChatGPT identifies gender disparities in scientific peer review

    This article has 1 author:
    1. Jeroen P. H. Verharen
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study used ChatGPT to assess certain linguistic characteristics (sentiment and politeness) of 500 peer reviews for 200 neuroscience papers published in Nature Communications. The vast majority of reviews were polite, but papers with female first authors received less polite reviews than papers with male first authors, whereas papers with a female senior author received more favourable reviews than papers with a male senior author. Overall, the study is an important contribution to work on gender bias, but the evidence that generative AI programs like ChatGPT have the potential to be useful in meta-research is incomplete, especially given the lack of a comparison to the many existing and already-validated tools for sentiment analysis based on natural language processing.

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