描述Facebook上不同主题的参与动态
Gabriele Etta1, Emanuele Sangiorgio2, Niccolò Di Marco3
1Center of Data Science and Complexity for Society, Department of Computer Science, Sapienza Università di Roma, Roma, Italy.
PloS one
|June 28, 2023
概括
社交媒体 社交媒体
科学领域:
- 社交媒体的动态.
- 计算社会科学 计算社会科学
- 信息的传播和传播.
背景情况:
- 社交媒体平台显著影响信息消费和话题受欢迎程度.
- 争议性话题的传播可以升级讨论和用户两极分化.
研究的目的:
- 调查社交媒体上有争议的话题的病毒性与用户两极分化之间的关系.
- 分析热门话题的参与模式及其对用户反应的影响.
主要方法:
- 来自200万个页面和群组的约5700万条Facebook帖子 (2018-2022) 的定量分析.
- 专注于吸引人的话题,包括丑闻,悲剧和社会政治问题.
- 应用物流函数来建模主题参与动态.
主要成果:
- 在各种有争议的话题中确定了类似的参与模式.
- 证明了最初的主题"爆发"可以预测随后的用户两极分化.
- 发现初始参与强度是预测用户不良反应的关键因素.
结论:
- 社交媒体上有争议的话题的病毒性与用户两极分化增加有关.
- 在线讨论中的早期参与峰值可以作为增加消极用户情绪的预测指标.
- 了解这些动态对于管理在线话语和缓解两极分化至关重要.
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