This paper is in the following e-collection/theme issue:

Methods and New Tools in Mental Health Research (558) Artificial Intelligence (2129) New Methods (1134) Clinical Mental Health Informatics (68) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Depression and Mood Disorders; Suicide Prevention (1691)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80371, first published .
Influence of Topic Familiarity and Prompt Specificity on Citation Fabrication in Mental Health Research Using Large Language Models: Experimental Study

Influence of Topic Familiarity and Prompt Specificity on Citation Fabrication in Mental Health Research Using Large Language Models: Experimental Study

Influence of Topic Familiarity and Prompt Specificity on Citation Fabrication in Mental Health Research Using Large Language Models: Experimental Study

Authors of this article:

Jake Linardon1 Author Orcid Image ;   Hannah K Jarman1 Author Orcid Image ;   Zoe McClure1 Author Orcid Image ;   Cleo Anderson1 Author Orcid Image ;   Claudia Liu1 Author Orcid Image ;   Mariel Messer1 Author Orcid Image
Article Authors Cited by Tweetations (22) Metrics

Jake Linardon   1 , PhD ;   Hannah K Jarman   1 , PhD ;   Zoe McClure   1 , PhD ;   Cleo Anderson   1 , BA ;   Claudia Liu   1 , BA ;   Mariel Messer   1 , PhD

1 School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia

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