一个十年的言论:从2014年到2024年,探索社交媒体上关于移民的情绪和趋势
Thu T Nguyen1, Penchala Sai Priya Mullaputi1, Xiaohe Yue1
1Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States.
Social science & medicine (1982)
|October 30, 2025
概括
在社交媒体上,公众对移民和难民的看法发生了显著的变化,在重大政治事件周围,负面情绪达到顶峰. 跨平台分析揭示了影响这些数字叙事的独特平台动态.
科学领域:
- 社会科学 社会科学 社会科学
- 计算社会科学 计算社会科学
- 数字通信数字通信
背景情况:
- 社交媒体显著塑造了公众对难民和移民的看法.
- 之前的研究由于单一平台和短期分析而提供了分散的观点.
研究的目的:
- 分析关于难民和移民的公共叙述和情绪演变的趋势.
- 为了比较Twitter,Facebook和Bluesky的用户参与度.
主要方法:
- 使用平台API分析了来自Twitter,Facebook和Bluesky的630万条美国帖子 (2014-2024年).
- 将129个移民关键字分为76个类别,使用支持矢量机模型分析情绪,并汇总参与度.
- 在Twitter上使用地理数据绘制州级情绪图.
主要成果:
- 情绪高峰与2014年叙利亚难民危机和2017年旅行禁令等重大事件相关.
- 在变得更加中立之前,Twitter和Facebook (2014-2019) 上的负面情绪增加了;布鲁斯基话语在推出后从中性转向负面.
- 与难民有关的话语总是比与移民有关的话语负面程度低;执法和排斥关键词显示了最高的负面性.
结论:
- 移民话语受到政治事件,情感框架和平台特定动态的影响.
- 跨平台分析对于全面了解不断变化的数字化迁移叙述至关重要.
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