Impact of Different Review Modes on Publication Bias:Based on Text Mining
[Purpose/Significance]By conducting text mining on open peer review reports,this study aims to explore the hidden publication bias in the peer review mode and provide theoretical support for its solutions.[Method/Process]The text mining analysis was conducted on the review reports of two modes:Transparent Peer Review(TPR)and Results-Blind Review(RBR).LDA topic analysis,sentiment analysis,and content analysis were used to compare and observe the differences in reviewers'focal points,emotional tendencies,and the distribution of research results po-larity.[Result/Conclusion]Reviewers using the Results-Blind Review(RBR)model tend to focus more on the quality and rigor of research methods and processes,while those using the Transparent Peer Review(TPR)model pay more attention to the results and conclusions of academic papers,and the corresponding evaluations during the review pro-cess are more subjective,leading to a potential"results-oriented"publication bias.It draws the following conclusions.Firstly,publication bias in the paper review stage has been confirmed.Second,the core reason behind this bias is the research evaluation system.Third,actively promoting a fully open review process is necessary.Finally,the academic community should shift publishing perspectives and promote emerging publishing models.
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