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- Title
Diagnosis Unreliability of ChatGPT for Journal Evaluation.
- Authors
Dadkhah, Mehdi; Oermann, Marilyn H; Hegedüs, Mihály; Raman, Raghu; Dávid, Lóránt Dénes
- Abstract
Purpose: Academic and other researchers have limited tools with which to address the current proliferation of predatory and hijacked journals. These journals can have negative effects on science, research funding, and the dissemination of information. As most predatory and hijacked journals are not error free, this study used ChatGPT, an artificial intelligence (AI) technology tool, to conduct an evaluation of journal quality. Methods: Predatory and hijacked journals were analyzed for reliability using ChatGPT, and the reliability of result have been discussed. Results: It shows that ChatGPT is an unreliable tool for journal quality evaluation for both hijacked and predatory journals. Conclusion: To show how to address this gap, an early trial version of Journal Checker Chatbot has been developed and is discussed as an alternative chatbot that can assist researchers in detecting hijacked journals.
- Subjects
CHATGPT; PREDATORY publishing; ARTIFICIAL intelligence; CHATBOTS; LANGUAGE models; INFORMATION dissemination
- Publication
Advanced Pharmaceutical Bulletin, 2024, Vol 14, Issue 1, p1
- ISSN
2228-5881
- Publication type
Article
- DOI
10.34172/apb.2024.020