English

Effectiveness of Anonymization in Double-Blind Review

Digital Libraries 2021-03-12 v1 General Literature Software Engineering

Abstract

Double-blind review relies on the authors' ability and willingness to effectively anonymize their submissions. We explore anonymization effectiveness at ASE 2016, OOPSLA 2016, and PLDI 2016 by asking reviewers if they can guess author identities. We find that 74%-90% of reviews contain no correct guess and that reviewers who self-identify as experts on a paper's topic are more likely to attempt to guess, but no more likely to guess correctly. We present our findings, summarize the PC chairs' comments about administering double-blind review, discuss the advantages and disadvantages of revealing author identities part of the way through the process, and conclude by advocating for the continued use of double-blind review.

Keywords

Cite

@article{arxiv.1709.01609,
  title  = {Effectiveness of Anonymization in Double-Blind Review},
  author = {Claire Le Goues and Yuriy Brun and Sven Apel and Emery Berger and Sarfraz Khurshid and Yannis Smaragdakis},
  journal= {arXiv preprint arXiv:1709.01609},
  year   = {2021}
}

Comments

Effectiveness of Anonymization in Double-Blind Review. Communications of the ACM. 2017