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Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer.

Zhouqing ZhangKongmeng LiewRoeline KuijerWan Jou SheShuntaro YadaShoko WakamiyaEiji Aramaki
Published in: JMIR cancer (2024)
Chinese users post different types of content, depending on the poster- poster-patient relationships. If the patient is family, posts are sadder and more anxious but also contain more content on treatments. However, if no patient is detected, posts show higher levels of anger. We think that these may stem from rants from posters, which may help with emotion regulation and gathering social support.
Keyphrases
  • social media
  • social support
  • case report
  • depressive symptoms
  • machine learning
  • health information
  • high throughput
  • deep learning
  • single cell