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

Peer-to-Peer Support and Online Communities (716) Violence including Domestic Violence/Abuse (135) Information Retrieval (323) Infodemiology and Infoveillance (1456)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48607, first published .
Examining the Supports and Advice That Women With Intimate Partner Violence Experience Received in Online Health Communities: Text Mining Approach

Examining the Supports and Advice That Women With Intimate Partner Violence Experience Received in Online Health Communities: Text Mining Approach

Examining the Supports and Advice That Women With Intimate Partner Violence Experience Received in Online Health Communities: Text Mining Approach

Authors of this article:

Vivian Hui1, 2 Author Orcid Image ;   Malavika Eby3 Author Orcid Image ;   Rose Eva Constantino2 Author Orcid Image ;   Heeyoung Lee2 Author Orcid Image ;   Jamie Zelazny2 Author Orcid Image ;   Judy C Chang4 Author Orcid Image ;   Daqing He5 Author Orcid Image ;   Young Ji Lee2, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Zhang B, Wong A, Constantino R, Hui V. The association between psychological distress, abusive experiences, and help-seeking among people with intimate partner violence. BMC Public Health 2024;24(1) View
  2. Riezina O, Yarova L. Digital technologies in linguistic education: Experience of development and implementation. Turkish Journal of Education 2024;13(4):308 View
  3. Guan S, Hui V, Stiglic G, Constantino R, Lee Y, Wong A. Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study. Journal of Medical Internet Research 2025;27:e65397 View