Effect of Positive vs Negative Reviewer-Led Discussion on Acceptance of Machine Learning Papers

Many publication venues and grant panels have a discussion stage in their peer review processes. Past research shows that human decisions in contexts involving social interactions (eg, financial markets) are susceptible to “herding,” ie, everyone doing what others are doing.1 In this work, the possible presence of herding in peer review was investigated by testing whether reviewers are biased by the first argument presented in the discussion.

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