估计在线网络中道德传染的影响规模:预先注册的复制和元分析
William J Brady1, Steve Rathje2, Laura K Globig2
1Department of Management and Organizations, Northwestern University, Kellogg School of Management, 2211 N Campus Dr, Evanston, IL 60208, USA.
PNAS nexus
|November 3, 2025
概括
道德传染,政治信息的传播与道德情感的表达,是强大的. 每个道德-情感词增加了13%的份额,这一发现在大型数据集和先进的方法中得到证实.
科学领域:
- 社会科学 社会科学 社会科学
- 沟通研究 沟通研究
- 政治科学 政治科学是指政治学.
背景情况:
- 社交媒体是现代生活的核心,影响信息传播,特别是在政治中.
- 在政治信息中表达道德情绪与信息传播的增加有关,称为"道德传染".
研究的目的:
- 直接复制和元分析在线政治信息传播中的"道德传染"效应.
- 通过不同的方法和大型数据集来评估道德传染的强度.
主要方法:
- 一个大规模的,预先注册的直接复制 (N = 849,266) 使用字典方法和大语言模型.
- 对5个实验室 (N = 4,821,006) 的27项研究进行了元分析,以估计人口效应的大小.
- 使用最先进的自然语言处理来测量道德情感内容的概念复制.
主要成果:
- 发现了一个显著的积极的道德传染效应 (IRR = 1.13),每一个道德-情感词增加了13%的份额.
- 直接复制 (IRR = 1.17) 提供了一个比原始研究 (IRR = 1.20) 更准确的估计人口效应.
- 道德传染模型的表现明显优于对照模型,并且在数据集和测量方法中效果强大.
结论:
- 在线政治信息传播中,道德传染效应是一个可靠的现象.
- 道德情感语言显著增强了社交媒体上政治内容的传播.
- 这些发现强调了理解在线政治沟通中的情感驱动因素的重要性.
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