The Classification of Q1 SJR-Ranked Library and Information Science Journals by an AI-driven “Suspected Predatory” Journal Classifier

Author:

Teixeira da Silva Jaime A.1

Affiliation:

1. Independent Researcher, Ikenobe 3011-2 , Kagawa-ken , 761-0799 , Japan

Abstract

AbstractIn academic publishing, there is a need to be able to discern scholarly from unscholarly, deceptive, and/or predatory journals. Predatory journals are not expected among highly ranked journals in reputable databases. SCImago Journal Rank (SJR), which ranks journals into four quartiles (Q1–Q4), acts as a whitelist or safelist for journal selection. Q1 SJR-ranked journals are likely not “predatory.” An artificial intelligence (AI)-based tool Academic Journal Predatory Checking (AJPC) system launched in February 2023 claims to differentiate suspected predatory journals (SPJs) from normal journals. AJPC system classified, in a 2 June 2023 assessment, 27 (or 42%) of the 64 Q1 SJR-ranked library and information science journals, most (48%) published by Taylor & Francis, as SPJs. This output is unlikely to be accurate (or is likely to be inaccurate) and may suggest that this free online AI-driven tool, whose output can be independently verified by anybody, may be providing erroneous output, and thus misleading information.

Publisher

Walter de Gruyter GmbH

Subject

Library and Information Sciences

Reference44 articles.

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