Cite-seeing and reviewing: A study on citation bias in peer review.

ABSTRACT: Citations play an important role in researchers' careers as a key factor in evaluation of scientific impact. Many anecdotes advice authors to exploit this fact and cite prospective reviewers to try obtaining a more positive evaluation for their submission. In this work, we investigate if such a citation bias actually exists: Does the citation of a reviewer's own work in a submission cause them to be positively biased towards the submission? In conjunction with the review process of two flagship conferences in machine learning and algorithmic economics, we execute an observational study to test for citation bias in peer review. In our analysis, we carefully account for various confounding factors such as paper quality and reviewer expertise, and apply different modeling techniques to allevi

SUBMITTER: Stelmakh I 

PROVIDER: S-EPMC10328240 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature