Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Using automated analysis of the bibliography to detect potential research integrity issues
3
Zitationen
3
Autoren
2024
Jahr
Abstract
Key points Efforts to assess research integrity in scholarly publications tend to focus on the front matter (e.g., fake authors) and the article body (e.g., data falsification, image manipulation, plagiarism). Automated analysis of the bibliography may surface fingerprints pointing to research integrity issues. Tools exist that can be used at all workflow stages, from manuscript submission through production, to detect citations of retracted articles and articles published by predatory publishers. Validation of bibliographic references against trusted databases can be used to help detect fake or chimeric references generated by artificial intelligence applications.
Ähnliche Arbeiten
International Journal of Scientific and Research Publications
2022 · 2.691 Zit.
Student writing in higher education: An academic literacies approach
1998 · 2.524 Zit.
Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling
2012 · 2.322 Zit.
Comparison of Two Methods to Detect Publication Bias in Meta-analysis
2006 · 2.221 Zit.
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
2023 · 1.988 Zit.