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

Journal: Journal of medical Internet research
Published Date: May 12, 2025

Abstract

BACKGROUND: Domestic violence (DV) is a significant public health concern affecting the physical and mental well-being of numerous women, imposing a substantial health care burden. However, women facing DV often encounter barriers to seeking in-person help due to stigma, shame, and embarrassment. As a result, many survivors of DV turn to online health communities as a safe and anonymous space to share their experiences and seek support. Understanding the information needs of survivors of DV in online health communities through multiclass classification is crucial for providing timely and appropriate support.

Authors

  • Shaowei Guan
    Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
  • Vivian Hui
    Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
  • Gregor Stiglic
    Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.
  • Rose Eva Constantino
    Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.
  • Young Ji Lee
    Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.
  • Arkers Kwan Ching Wong
    School of Nursing, The Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).

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