A randomized controlled trial on anonymizing reviewers to each other in peer review discussions.

Journal: PloS one
PMID:

Abstract

Many peer-review processes involve reviewers submitting their independent reviews, followed by a discussion between the reviewers of each paper. A common question among policymakers is whether the reviewers of a paper should be anonymous to each other during the discussion. We shed light on this question by conducting a randomized controlled trial at the Conference on Uncertainty in Artificial Intelligence (UAI) 2022 conference where reviewer discussions were conducted over a typed forum. We randomly split the reviewers and papers into two conditions-one with anonymous discussions and the other with non-anonymous discussions. We also conduct an anonymous survey of all reviewers to understand their experience and opinions. We compare the two conditions in terms of the amount of discussion, influence of seniority on the final decisions, politeness, reviewers' self-reported experiences and preferences. Overall, this experiment finds small, significant differences favoring the anonymous discussion setup based on the evaluation criteria considered in this work.

Authors

  • Charvi Rastogi
    Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Xiangchen Song
    Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Zhijing Jin
    Computer Science Department, ETH Zürich, Zürich, Switzerland.
  • Ivan Stelmakh
    New Economic School, Moscow, Russia.
  • Hal Daumé
    Department of Computer Science, University of Maryland, College Park, Maryland, United States of America.
  • Kun Zhang
    Philosophy Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Nihar B Shah
    Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.