What does ChatGPT advise about predatory publishing?

Tsigaris P 1 , Kendall G 2 , Teixeira da Silva JA 3

Affiliations 

  • 1 805 TRU Way, Department of Economics, Thompson Rivers University, Kamloops, British Columbia V2C 0C8, Canada. Electronic address: ptsigaris@tru.ca
  • 2 University of Nottingham (UK and Malaysia), University Park, Nottingham NG7 2RD, UK. Electronic address: graham.kendall@nottingham.edu.my
  • 3 Ikenobe 3011-2, Kagawa-ken 761-0799, Japan. Electronic address: jaimetex@yahoo.com
J Prof Nurs, 2023;49:188-189.
PMID: 38042556 DOI: 10.1016/j.profnurs.2023.08.002

Abstract

The debate surrounding "predatory publishing" continues to be unable to find entirely effective solutions to dealing with this problem, despite fervent efforts by many academics and policy makers around the world. Given this situation, we were interested in appreciating whether ChatGPT would be able to offer insight and solutions, to complement current human-based efforts.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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