Bad smells in reviewers' reports? Text-mining the MDPI Open Peer Review Corpus - Recherche d’Information et Synthèse d’Information Access content directly
Preprints, Working Papers, ... (Preprint) Year : 2023

Bad smells in reviewers' reports? Text-mining the MDPI Open Peer Review Corpus

Abstract

Malpractice affecting the reviewing process is detrimental to science. We introduce methods to reveal evidence of peer review manipulation, such as template usage, citation manipulations or botched and meaningless reviewer reports. We apply and evaluate these methods on a corpus of reports.
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hal-04311568 , version 1 (28-11-2023)

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  • HAL Id : hal-04311568 , version 1

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Gilles Hubert, Guillaume Cabanac, Cyril Labbé. Bad smells in reviewers' reports? Text-mining the MDPI Open Peer Review Corpus. 2023. ⟨hal-04311568⟩
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