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

Generative Language Models Including ChatGPT (770) New Methods (1166) Violence including Domestic Violence/Abuse (165) Infoveillance and Social Listening (320) Peer-to-Peer Support and Online Communities (826) Information Seeking, Information Needs (573) Artificial Intelligence (2280)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65397, first published .
Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

Authors of this article:

Shaowei Guan1 Author Orcid Image ;   Vivian Hui2, 3 Author Orcid Image ;   Gregor Stiglic4 Author Orcid Image ;   Rose Eva Constantino3 Author Orcid Image ;   Young Ji Lee3 Author Orcid Image ;   Arkers Kwan Ching Wong5 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Guan S, Law N. A One-class variational autoencoder for smart contract vulnerability detection. International Journal of Information Security 2025;24(4) View
  2. Başaranoğlu M, Akbay E, Erdem E. From digital assistants to clinical partners: revolutionizing pediatric urology through large language model-powered decision support and patient education. World Journal of Urology 2025;43(1) View
  3. Hui V, Tian L, Eby M, Zhang B, Constantino R. Evaluating website resources shared online amongst women with intimate partner violence experiences: analysis of an online health community. Frontiers in Psychology 2026;17 View
  4. Hui V, Tian L, Feng X, Chen Q, Wong A, Bloom T, Yu B. Perspectives and preferences of domestic violence survivors regarding digital platform and AI chatbot for help-seeking: A qualitative study. PLOS One 2026;21(2):e0342453 View

Conference Proceedings

  1. Maddox A, Singh S, Jones B. 2025 IEEE International Symposium on Technology and Society (ISTAS). AI Detection and Risk Estimation in Family Violence: Challenges and Governance View