Indigophoton
Senior Member (Voting Rights)
Peer review is a cornerstone of the academic publication process but can be subject to the flaws of the humans who perform it. Evidence suggests subconscious biases influence one's ability to objectively evaluate work: In a controlled experiment with two disjoint program committees, the ACM International Conference on Web Search and Data Mining (WSDM'17) found that reviewers with author information were 1.76x more likely to recommend acceptance of papers from famous authors, and 1.67x more likely to recommend acceptance of papers from top institutions.6
A study of three years of the Evolution of Languages conference (2012, 2014, and 2016) found that, when reviewers knew author identities, review scores for papers with male-first authors were 19% higher, and for papers with female-first authors 4% lower.4 In a medical discipline, U.S. reviewers were more likely to recommend acceptance of papers from U.S.-based institutions.2
These biases can affect anyone, regardless of the evaluator's race and gender.3 Luckily, double-blind review can mitigate these effects1,2,6 and reduce the perception of bias,5 making it a constructive step toward a review system that objectively evaluates papers based strictly on the quality of the work.
https://m.cacm.acm.org/magazines/20...anonymization-in-double-blind-review/fulltext