Estimating the Causal Effect of Early ArXiving on Paper Acceptance

Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

What is the effect of releasing a preprint of a paper before it is submitted for peer review? No randomized controlled trial has been conducted, so we turn to observational data to answer this question. We use data from the ICLR conference (2018–2022) and apply methods from causal inference to estimate the effect of arXiving a paper before the reviewing period (early arXiving) on its acceptance to the conference. Adjusting for confounders such as topic, authors, and quality, we may estimate the causal effect. However, since quality is a challenging construct to estimate, we use the negative outcome control method, using paper citation count as a control variable to debias the quality confounding effect. Our results suggest that early arXiving may have a small effect on a paper’s chances of acceptance. However, this effect (when existing) does not differ significantly across different groups of authors, as grouped by author citation count and institute rank. This suggests that early arXiving does not provide an advantage to any particular group.

Original languageEnglish
Pages (from-to)913-933
Number of pages21
JournalProceedings of Machine Learning Research
Volume236
StatePublished - 2024
Externally publishedYes
Event3rd Conference on Causal Learning and Reasoning, CLeaR 2024 - Los Angeles, United States
Duration: 1 Apr 20243 Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 Proceedings of Machine Learning Research. All rights reserved.

Keywords

  • Causal inference
  • negative outcome control
  • peer-review

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