Using automated analysis of the bibliography to detect potential research integrity issues

Author:

Dunford Robin1ORCID,Rosenblum Bruce2ORCID,Izzo Hunter Sylvia3ORCID

Affiliation:

1. Wiley Partner Solutions Oxford UK

2. Wiley Partner Solutions Hoboken New Jersey USA

3. Wiley Partner Solutions Toronto Ontario Canada

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.

Publisher

Wiley

Reference27 articles.

1. Barnett A.(2023).Scientific fraud is rising and automated systems won't stop it. We need research detectives [Web log post].https://theconversation.com/scientific‐fraud‐is‐rising‐and‐automated‐systems‐wont‐stop‐it‐we‐need‐research‐detectives‐206235

2. New tools show promise for tackling paper mills

3. Cabells Scholarly Analytics. (2023).Predatory reports.www2.cabells.com/about-predatory

4. Crossref. (2020).Crossmark.www.crossref.org/services/crossmark/

5. Investigating and preventing scientific misconduct using Benford’s Law

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