错误信息和有害语言是相互关联的,而不是不同的挑战
Mohsen Mosleh1,2, Rocky Cole2, David G Rand2,3,4
1Department of Management, University of Exeter Business School, Exeter, EX4 4PU, UK.
PNAS nexus
|March 22, 2024
概括
错误信息和社交媒体上的有害语言是相关的. 研究表明,虚假标题和低质量的新闻链接的帖子往往包含更有害的语言,这表明这些问题之间存在联系.
科学领域:
- 社会媒体研究 社交媒体研究
- 计算社会科学 计算社会科学
- 语言学的语言学.
背景情况:
- 社交媒体平台面临着错误信息和有害语言的挑战.
- 对这两种有问题的内容类型的研究在很大程度上是独立地进行的.
- 了解错误信息和有害语言之间的相互作用对于平台治理和用户福祉至关重要.
研究的目的:
- 调查错误信息的共享和社交媒体上有害语言的使用之间的关系.
- 为了确定传播错误信息的用户是否也倾向于使用更有害的语言.
- 探索信息质量与有害语言存在之间的联系.
主要方法:
- 分析了来自6,832名Twitter (X) 用户的8,687,758条帖子的大数据集.
- 从专业的事实检查网站检查了14617个真实和虚假的标题.
- 统计建模以评估错误信息指标与有害语言指标之间的关联.
主要成果:
- 在错误信息和有害语言之间发现了显著的积极关联.
- 链接到质量较低的新闻媒体的Twitter帖子包含了更多有害的语言 (β = 0.10).
- 虚假的标题表现出比真实的标题更有害的语言 (β = 0.19).
- 分享低质量的新闻的用户也使用了更有害的语言,即使在无关的帖子中 (β = 0.13).
结论:
- 错误信息和有害的语言是相互关联的现象,不是完全不同的.
- 虽然相关,有害的语言不是信息质量的唯一可靠指标.
- 研究结果强调需要整合对错误信息和有害语言的研究,以了解它们的心理基础.
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