Journal Article: “Meta-Research: Large-Scale Language Analysis of Peer Review Reports”
The article linked (accepted manuscript) to below was recently published by eLife.
Title
Meta-Research: Large-Scale Language Analysis of Peer Review Reports
Authors
University of Split School of Medicine, Croatia
Universitat de València, Spain
University of Milan, Italy
University of Split School of Medicine, Croatia
Source
eLife 2020;9:e5324
DOI: 10.7554/eLife.53249
Abstract
Peer review is often criticized for being flawed, subjective and biased, but research into peer review has been hindered by a lack of access to peer review reports. Here we report the results of a study in which text-analysis software was used to determine the linguistic characteristics of 472,449 peer review reports. A range of characteristics (including analytical tone, authenticity, clout, three measures of sentiment, and morality) were studied as a function of reviewer recommendation, area of research, type of peer review and reviewer gender. We found that reviewer recommendation had the biggest impact on the linguistic characteristics of reports, and that area of research, type of peer review and reviewer gender had little or no impact. The lack of influence of research area, type of review or reviewer gender on the linguistic characteristics is a sign of the robustness of peer review.
Direct to Full Text Article
27 pages; PDF.
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.
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