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Public sentiment dynamics in policy transitions: a sentiment analysis based on Weibo data
Xuan Ning1, Ruonan Li1, Dewei Lan2
1Department of Social Sciences, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Frontiers in Public Health
|November 17, 2025
Summary
China
Area of Science:
- Public health communication
- Social media analysis
- Epidemiology
Background:
- China's stringent dynamic zero-COVID policy shifted abruptly in late 2022.
- This policy change led to varied public opinions and sentiments online.
- Limited research explored public sentiment shifts during this transition.
Purpose of the Study:
- Analyze public sentiment changes towards China's COVID-19 re-opening policy.
- Inform effective government health communication strategies for future policy shifts.
- Understand public well-being during public health crises.
Main Methods:
- Utilized 1,423,694 Weibo posts from November 11, 2022, to January 11, 2023.
- Conducted fine-grained emotion extraction and LDA topic modeling.
- Aligned extracted topics with corresponding emotions for in-depth analysis.
Main Results:
- Analyzed emotion fluctuations considering cultural, social, and policy factors.
- Found 'disgust' (24.0%) surpassed 'like' (22.8%) after mid-December.
- 'Happiness' showed a gradual increase, reaching 12.0%.
Conclusions:
- Study findings are crucial for effective government health communication during crises.
- Results aid in pandemic control, prevention, and maintaining public well-being.
- Provides insights into public sentiment dynamics following major policy changes.
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