功能可见性
功率(物理)
动作(物理)
代理(哲学)
集体行动
集合(抽象数据类型)
政治学
数字媒体
公共关系
社会学
媒体研究
政治
计算机科学
心理学
社会科学
法学
认知心理学
物理
量子力学
程序设计语言
作者
Edmund W. Cheng,Elizabeth Lui,King‐Wa Fu
标识
DOI:10.1177/14614448231155376
摘要
Recent literature has underscored the power of digital activism, but few studies have symmetrically examined its impact beyond domestic audiences and among illiberal regimes. The co-occurrence of mass protests in East and Southeast Asia in 2019–2021, when protesters called for help from international communities, offers a valuable opportunity to test the power of digital media. This study uses a data set of 154 million Twitter posts and a time-series model to contrast sets of collective action metrics and connective action metrics with a novel dependent variable—foreign politicians’ responses. We then analyze the directional, intensity, and time-lagged effects of the relevant cue-taking processes. We find that the new metrics are more potent in predicting responses from foreign politicians. Agency- and network-centered metrics also outperform number- and intensity-oriented metrics across the three cases. These findings have implications for the roles of opinion leadership and engagement networks in digital activism.
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