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Summary of Is Peer-reviewing Worth the Effort?, by Kenneth Church et al.


Is Peer-Reviewing Worth the Effort?

by Kenneth Church, Raman Chandrasekar, John E. Ortega, Ibrahim Said Ahmad

First submitted to arxiv on: 18 Dec 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI)

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GrooveSquid.com Paper Summaries

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
This paper investigates the effectiveness of peer-review in identifying important papers by treating it as a forecasting task. Researchers aimed to predict which papers would be highly cited in the future based on factors such as publication venue and early citation counts soon after publication. The study found that early returns are more predictive than venue, suggesting that the initial reception of a paper is a stronger indicator of its impact than where it was published. Additionally, the authors propose solutions to address challenges in scaling peer-review processes, including managing an influx of submissions and ensuring sufficient qualified reviewers.
Low GrooveSquid.com (original content) Low Difficulty Summary
This research tries to figure out if we can predict which papers will be really important by looking at how well they do when they first come out. They found that how much a paper is talked about soon after it’s published is a better indicator of its importance than where it was published in the first place. The authors also suggest ways to make the process of reviewing papers work better for a bigger number of submissions and reviewers.

Keywords

» Artificial intelligence