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

Tsz Hang ChuYouzhen SuHanxiao KongJingyuan ShiXiaohui Wang
Published in: Violence against women (2020)
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.
Keyphrases
  • intimate partner violence
  • social support
  • depressive symptoms
  • machine learning
  • social media
  • health information
  • healthcare
  • mental health
  • deep learning
  • high resolution
  • artificial intelligence