Online Social Support for Intimate Partner Violence Victims in China: Quantitative and Automatic Content Analysis

Tsz Hang Chu*, Youzhen Su, Hanxiao Kong, Jingyuan SHI, Xiaohui Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

To examine the nature and content of messages presented in a popular Chinese online community about intimate partner violence (IPV), this study utilized a two-step analytic approach that combined quantitative content analysis and automatic content analysis. We collected 90,040 messages from the online community’s IPV group. Study 1 analyzed 8,343 randomly selected messages. The findings suggest that social support is commonly presented, while only a few messages expressed blame toward the victims. Study 2 analyzed the whole sample via machine learning technique and further showed that this online community was a space for the victims to obtain informational resources and emotional encouragement.

Original languageEnglish
Pages (from-to)339-358
Number of pages20
JournalViolence Against Women
Volume27
Issue number3-4
DOIs
Publication statusPublished - Mar 2021

Scopus Subject Areas

  • Gender Studies
  • Sociology and Political Science
  • Law

User-Defined Keywords

  • content analysis
  • intimate partner violence
  • online social support

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