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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

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
  3. Noh J. Navigating the AI Revolution: A New Chapter for the Diabetes and Metabolism Journal. Diabetes & Metabolism Journal 2026;50(2):253 View
  4. Resnik D, Hosseini M. Hallucinated citations produced by generative artificial intelligence may constitute research misconduct when citations function as data in scholarly papers. Accountability in Research 2026 View
  5. Rajaratnam V, Omar U, Kee K, Kaliya-Perumal A. Citation Inaccuracies and the Need for Multi-Level Oversight in AI-Assisted Medical Writing. Standards 2026;6(1):10 View
  6. Li S, Yang J, Cai M, Zhao Z, Zhao X, Li H, Ning S, Yang G, Shen W, Wang H, Wu H. Dual anterior insula-prefrontal cortex circuits mediate chronic stress-induced social interaction deficits. Neuron 2026 View
  7. Naddaf M, Quill E. Hallucinated citations are polluting the scientific literature. What can be done?. Nature 2026;652(8108):26 View
  8. Wang X, Yin C, He H, Guo J, Fu X, Bai F. Benchmarking public large language model responses to patient-facing inflammatory bowel disease questions: informational quality, transparency proxies, and readability. Frontiers in Public Health 2026;14 View