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

Methods and New Tools in Mental Health Research (573) Artificial Intelligence (2251) New Methods (1153) Clinical Mental Health Informatics (71) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2208) Depression and Mood Disorders; Suicide Prevention (1734)

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 (2) Tweetations (24) Metrics

Journals

  1. Yu S, Hwang H. The ethics of using artificial intelligence in writing medical research papers. Kosin Medical Journal 2025;40(4):270 View
  2. Alazzawi M, Lam K. Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study. JMIR Formative Research 2026;10:e82828 View