在社交媒体平台和随着时间的推移而持续的互动模式
Michele Avalle1, Niccolò Di Marco1, Gabriele Etta1
1Department of Computer Science, Sapienza University of Rome, Rome, Italy.
Nature
|March 21, 2024
概括
社交媒体
科学领域:
- 计算社会科学
- 人与计算机的交互
- 在线沟通研究
背景情况:
- 社交媒体平台对公共话语和社会动态产生重大影响.
- 有关网上毒性的流行和影响存在担忧.
- 了解不同网络社区的用户行为至关重要.
研究的目的:
- 在多个社交媒体平台上对人类行为模式进行比较分析.
- 在网上对话中发现有毒内容的一致模式.
- 调查对话长度,毒性和用户参与之间的关系.
主要方法:
- 从Usenet到当代的社交媒体,
- 通过比较方法在不同网络社区中分离行为模式.
- 专注于识别有毒内容和用户参与的一致模式.
主要成果:
- 在平台,主题和时间上观察到一致的对话模式和用户行为.
- 较长的对话显示出更高的毒性, 但毒性并不总是阻止参与或升级.
- 辩论和对比的用户情绪与更激烈的讨论有关.
结论:
- 人类行为在塑造网络话语方面发挥着关键作用,
- 毒性对参与和升级的影响比之前所认为的更细致.
- 了解这些持续的模式是解决在线沟通挑战的关键.
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