Bibliometric methods for identifying AI-assisted papers

DOI

Presentation given to the LIS-Bibliometrics conference, September 2024. Abstract: AI-generated text is increasingly common in scholarly publications, with the community divided on how best to handle this issue. This presentation will look at various bibliometric methods which can currently be used to identify AI-generated or AI-assisted papers, and review some of the estimates for its prevalence in recent years. It will discuss how effective detection might be, and what the rise in AI-assisted text might mean for scholarly communications in future.

Identifier
DOI https://doi.org/10.5522/04/27064540.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/49295410
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/27064540
Provenance
Creator Gray, Andrew
Publisher University College London UCL
Contributor Figshare
Publication Year 2024
Rights https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Presentation; Audiovisual
Discipline Other