了解公众情绪:流行后时代的时空动态通过微博数据
Yi Liu1,2, Xiaohan Yan1,2, Tiezhong Liu1,2
1School of Management, Beijing Institute of Technology, Beijing 100081, China.
Behavioral sciences (Basel, Switzerland)
|March 28, 2025
概括
公共卫生危机影响心理健康. 这项研究分析了2022年北京COVID-19爆发的微博数据,揭示了情绪模式和行为,以指导危机管理.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 行为科学 行为科学
背景情况:
- 流行病后的公共卫生危机给全球心理健康带来了重大风险.
- 了解公众的情绪反应对于有效的危机管理至关重要.
研究的目的:
- 开发一个概念模型,分析卫生危机期间公共情绪的时空分布.
- 了解影响因素,公众情绪和在线行为之间的相互作用.
主要方法:
- 利用了2022年北京COVID-19疫情 (6月9日至8月18日) 的微博数据.
- 基于词典的综合情绪分析,空间自相关和内容分析.
- 确定了24个主要类别和90个子类别,分为9个核心主题.
主要成果:
- 观察到一个跨越紧急,传染和解决阶段的多峰情绪循环.
- 在爆发中心和受影响地区检测到显著的情绪集群.
- 积极的情绪与大流行改善和政策支持相关;与疫情和限制相关的负面情绪,引发批评.
结论:
- 该研究提供了对健康危机期间公众情绪和行为演变的关键见解.
- 强调时空模式和情感动态对于有针对性的干预的重要性.
- 为政府和卫生组织提供可操作的指导,以加强危机管理和公共弹性.
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