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- W4384077703 abstract "Abstract In 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." @default.
- W4384077703 created "2023-07-13" @default.
- W4384077703 creator A5087016011 @default.
- W4384077703 date "2023-01-01" @default.
- W4384077703 modified "2023-09-23" @default.
- W4384077703 title "The Classification of Q1 SJR-Ranked Library and Information Science Journals by an AI-driven “Suspected Predatory” Journal Classifier" @default.
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- W4384077703 doi "https://doi.org/10.1515/opis-2022-0150" @default.
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