在公共紧急情况下分析群体情绪生成的先例配置:多因素合方法
Xiaohan Yan1, Yi Liu1, Yan Chen1
1School of Management, Beijing Institute of Technology, 5 Zhongguancun South Street, Beijing 100080, China.
Behavioral sciences (Basel, Switzerland)
|January 24, 2025
概括
了解紧急情况中的群体情绪是关键. 这项研究揭示,集团间威胁助长了负面情绪,而政府反应速度则促进了积极情绪,为更好的论治理提供了洞察力.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 沟通研究 沟通研究
背景情况:
- 有效的应急管理需要了解公众的情绪反应.
- 预测群体情绪是复杂的,因为多因素的合.
- 社会燃烧理论为分析群体情绪提供了一个框架.
研究的目的:
- 建立基于社会燃烧理论的群体情绪形成理论框架.
- 探索影响群体情绪的因素的途径和配置效应.
- 通过准确的情绪预测,加强紧急情况管理和论治理.
主要方法:
- 网络抓取和文本情绪分析来衡量群体的情绪倾向.
- 分析了过去五年的40起公共紧急情况.
- 模糊集定性比较分析 (fsQCA) 以确定形成路径.
主要成果:
- 积极与负面群体情绪的途径存在显著差异.
- "燃烧物质" (跨群体威胁) 主要触发负面情绪.
- "加速"因素,政府反应速度,谣言和刺激事件极大地影响了情绪结果.
结论:
- 政府响应速度对于紧急情况中的积极情绪反应至关重要.
- 谣言和刺激事件显著放大了负面的群体情绪.
- 研究结果为管理公共紧急情况中的群体情绪提供了理论和实际见解.
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