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

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.

Keywords

• blacklists
• erroneous criteria
• opacity
• predatory journal detector
• transparency