A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions
Not on the map. Why?
Abstract (arXiv)
Peer review often involves reviewers submitting their independent reviews, followed by a discussion among reviewers of each paper. A question among policymakers is whether the reviewers of a paper should be anonymous to each other during the discussion. We shed light on this by conducting a randomized controlled trial at the UAI 2022 conference. We randomly split the reviewers and papers into two conditions--one with anonymous discussions and the other with non-anonymous discussions, and conduct an anonymous survey of all reviewers, to address the following questions: 1. Do reviewers discuss more in one of the conditions? Marginally more in anonymous (n = 2281, p = 0.051). 2. Does seniority have more influence on final decisions when non-anonymous? Yes, the decisions are closer to senior reviewers' scores in the non-anonymous condition than in anonymous (n = 484, p = 0.04). 3. Are reviewers more polite in one of the conditions? No significant difference in politeness of reviewers' text-based responses (n = 1125, p = 0.72). 4. Do reviewers' self-reported experiences differ across the two conditions? No significant difference for each of the five questions asked (n = 132 and p > 0.3). 5. Do reviewers prefer one condition over the other? Yes, there is a weak preference for anonymous discussions (n = 159 and Cohen's d= 0.25). 6. What do reviewers consider important to make policy on anonymity among reviewers? Reviewers' feeling of safety in expressing their opinions was rated most important, while polite communication among reviewers was rated least important (n = 159). 7. Have reviewers experienced dishonest behavior due to non-anonymity in discussions? Yes, roughly 7% of respondents answered affirmatively (n = 167). Overall, this experiment reveals evidence supporting an anonymous discussion setup in the peer-review process, in terms of the evaluation criteria considered.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Mar 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 3; 2025: 1; 2026: 2.
6 papers.
- 2024What Can Natural Language Processing Do for Peer Review?cited by 24
- 2024Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experimentcited by 15
- 2025Identity Theft in AI Conference Peer Reviewcited by 3
- 2024Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewingcited by 0
- 2026Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challengecited by 0
- 2026Mitigating LLM-based p-Hacking by Preregistering for the Next LLMcited by 0
- 2026Mitigating LLM-based p-Hacking by Preregistering for the Next LLM26 Jun 2026
- 2026Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge2 Mar 2026
- 2025Identity Theft in AI Conference Peer Review6 Aug 2025
- 2024Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing18 Nov 2024
- 2024Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment5 Nov 2024
- 2024What Can Natural Language Processing Do for Peer Review?10 May 2024