5G COVID-19 数字野火:5G COVID-19 数字野火:5G COVID-19 数字野火:5G COVID-19 数字野火:5G COVID-19 数字野火:5G COVID-19 数字野火:5G COVID-19
Kaspara Skovli Gåsvær1, Pedro G Lind2,3, Johannes Langguth4
1Department of Physics and Center for Computing in Science Education, University of Oslo, Oslo, Norway.
PloS one
|March 13, 2026
概括
这项研究分析了5G和COVID-19阴谋论在Twitter上的传播,确定了用户交互和社区动态的模式. 监控交互峰值可能有助于预测和减轻有害的数字野火.
科学领域:
- 社交网络分析 社交网络分析
- 计算社会科学 计算社会科学
- 信息科学 信息科学 信息科学
背景情况:
- 5G和COVID-19阴谋论迅速出现,将电信技术与大流行联系起来.
- 这种错误信息不断升级,导致现实世界的伤害,包括纵火和暴力.
研究的目的:
- 在Twitter上调查5G和COVID-19数字野火 (DW) 的传播动态.
- 分析社区结构和错误信息的时间演变.
- 探索数字野火的潜在早期预警指标.
主要方法:
- 对Twitter用户活动和时间交互网络的分析.
- 检查社交网络中的社区动态.
- 对沟通模式和用户影响的探索性分析.
主要成果:
- 用户互动和社区规模显示出暗示权力-法律分布的模式.
- 确定了一个关键的转变阶段,标志着向全球错误信息传播的过渡.
- 有影响力的用户似乎放大了传播,尽管因果关系需要进一步研究.
结论:
- 数字野火动态可以被概念化成不同的阶段.
- 监控用户交互峰值可能为有害的错误信息提供早期预警系统.
- 了解这些模式可以帮助预测和缓解数字野火.
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