Publishing Journal ›› 2026, Vol. 34 ›› Issue (4): 42-53.

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Mining Open Peer Review Reports with a Large Language Model: Focal Dimensions and Language Styles 

  

  1. (School of Cultural Heritage and Information Management / Information Research Center, Shanghai University, Shanghai, 200444)(School of Cultural Heritage and Information Management, Shanghai University, Shanghai, 200444)(School of Information Management, Central China Normal University, Wuhan, 430079)(Center for Studies of Information Resources / School of Information Management, Wuhan University, Wuhan, 430072) 
  • Received:2026-03-02 Revised:2026-06-07 Online:2026-09-15 Published:2026-09-15

Abstract: To reveal the content structure and discourse characteristics of open peer review texts, this article takes 62901 review sentences from publicly available review reports of Acta Psychologica Sinica as the research object, and establishes a dual-dimensional analytical framework including focal dimensions and language styles. The results show that research/experimental design receives the highest attention(45.61%), while literature review receives the lowest(10.60%), showing a distinct empirical orientation. In language style, texts are dominated by neutral expressions(46.89%)and high formality(99.00%). In negative and questioning comments, the proportions of low politeness and high subjectivity both exceed 60%, forming a critical yet constructive expression pattern. This article reveals the content structure and discourse logic of open peer review, providing empirical support for improving Chinese academic review norms and evaluation quality. 

Key words: Open peer review Focal dimension Language style Large language model Scholarly evaluation behavior 

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