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Changes in online public opinions associated with various three-child supportive policies in China: Observational study using social media data over time.

Lijuan PengTinggui ChenJianjun YangGuodong Cong
Published in: PloS one (2024)
Our study demonstrates the feasibility of a rapid and flexible method for evaluating the public response to various three-child supportive policies in China using near real-time social media data. This information can help policy makers anticipate public responses to future pandemic three-child policies and ensure that adequate resources are dedicated to addressing increases in negative sentiment and levels of disagreement in the face of scientifically informed but controversial, restrictions.
Keyphrases
  • social media
  • mental health
  • health information
  • public health
  • healthcare
  • electronic health record
  • sars cov
  • big data
  • coronavirus disease
  • machine learning
  • emergency department
  • artificial intelligence
  • deep learning