内容框架对公众情绪形成的作用,通过情绪分析和内容分析对敏感问题进行危机前检测
Nurul Hidayah Watimin1, Hasmah Zanuddin1, Mohamad Saleeh Rahamad1
1Department of Media and Communications, Faculty of Arts & Social Sciences, University of Malaya, Kuala Lumpur, Malaysia.
PloS one
|October 18, 2023
概括
这项研究使用框架理论来分析社交媒体评论,确定预测消极用户情绪的经济和责任框架. 这种情绪分析可以作为执法部门早期危机检测工具.
科学领域:
- 社会科学 社会科学 社会科学
- 沟通研究 沟通研究
- 计算社会科学 计算社会科学
背景情况:
- 社交媒体参与,特别是评论,提供了对用户情绪的洞察力.
- 在使用社交媒体评论的用户情绪来检测危机方面存在差距.
- 框架理论为理解内容如何影响用户情绪提供了一个镜头.
研究的目的:
- 通过对社交媒体评论的用户情绪分析,探索框架理论在预测危机中的应用.
- 识别与负面情绪相关的特定框架属性.
- 建立在社交媒体平台上进行危机前检测的方法.
主要方法:
- 使用应用程序接口 (API) 网络工具对Facebook评论的情绪分析.
- 使用正面和负面影响表 (PANAS) 尺度对评论的内容分析.
- 使用结构方程建模 - 部分最小方程 (SEM-PLS) 的统计评估.
主要成果:
- 该研究发现,44.8%的情绪和对敏感帖子的反应受到框架变量的影响.
- 经济后果和责任属性框架显示了与用户情绪和反应的显著相关性 (p<0.05).
- 强调经济和责任框架的新闻报道引发了负面情绪.
结论:
- 负面情绪,特别是与经济和责任框架相关联时,可以作为危机前的指标.
- 这种情绪分析方法可以帮助执法机构积极预防在线犯罪活动.
- 了解内容框架对于解释用户情绪和减轻潜在的社交媒体危机至关重要.
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