了解在推特上传播的反移民情绪
Andrea Nasuto1, Francisco Rowe1
1Department of Geography and Planning, Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom.
PloS one
|September 4, 2024
概括
在线对移民的两极分化很高. 社交媒体上的反移民内容传播得更快,并由一个小,活跃的群体推动,这表明有针对性的干预可以降低情绪.
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
- 媒体研究 媒体研究
背景情况:
- 关于移民的公共话语高度两极分化,社交媒体在很大程度上塑造了公众论,并可能加剧了线下紧张局势.
- 了解在线讨论的动态对于解决与移民有关的社会分裂至关重要.
研究的目的:
- 分析英国有关移民的推文中的两极分化程度.
- 在社交媒体上确定移民内容的关键创作者和传播者.
- 评估不同移民社区内内容传播的速度.
主要方法:
- 分析了220,870条来自英国的与移民有关的推文.
- 量化评估在线两极分化,用户活动和内容传播.
- 在话语中识别有影响力的用户和社区.
主要成果:
- 在支持和反对移民社区之间存在显著的在线两极分化.
- 反移民社区规模较小,但更活跃和更密集,少数用户占大部分内容.
- 反移民内容的传播速度是支持移民内容的1.66倍,机器人影响最小.
结论:
- 针对和监控反移民社区中高度活跃的用户,可以有效地制情绪.
- 专注于有影响力的用户的干预可以帮助缓解社会两极分化,并塑造公众对移民的态度.
- 该研究强调了社交媒体在塑造当代移民辩论中的关键作用.
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