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

Peer-to-Peer Support and Online Communities (707) Violence including Domestic Violence/Abuse (133) Information Retrieval (322) Infodemiology and Infoveillance (1445)

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 Domestic Violence Survivors’ Information Needs in Online Health Communities Using Large Language Models: Prediction Model Development Study (Preprint). Journal of Medical Internet Research 2024 View