Can ChatGPT identify predatory biomedical and dental journals? A cross-sectional content analysis

2024/01/21 by Dalya Al-Moghrabi, Dalya Al‐Moghrabi, Sarah Abu Arqub +5 · 1 voice · 2 citations
Decision Sciences · Medicine · #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews #scientometrics and bibliometrics research

paper · doi:10.1016/j.jdent.2024.104840

openalex publication_date 2024/01/21 · crossref created 2024/01/21 · crossref issued 2024/03/01 · crossref published 2024/03/01 · crossref published-print 2024/03/01 · crossref deposited 2024/10/24 · openalex created_date 2025/10/10 · crossref indexed 2026/07/30 · openalex updated_date 2026/07/30

Citations

• A credit-like rating system to determine the legitimacy of scientific journals and publishers
• Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers

Cited by

• Estimating the predictability of questionable open-access journals
• An Analysis of Solicitations From Predatory Journals in Ophthalmology

Discussions

• Ob man damit wirklich dem Graubereich aus gut gedachten, aber eher schlecht gemachten Zeitschriften gerecht wird, daran habe ich meine Zweifel. Aber das Problem scheinen die Autor:innen zumindest auf [bsky, 0 points, 0 comments]