社会运动议题网络如何激发气候抵抗

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2023-10-01 DOI:10.1016/j.socnet.2022.02.002
Lorien Jasny , Dana R. Fisher
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引用次数: 3

摘要

当个人参与激进主义时,他们如何理解激励他们的具体问题?随着时间的推移,一场运动的参与者和组织者之间是否存在清晰一致的动机模式?本文将网络方法应用于一个独特的数据集,以了解活动人士在三年内参与一系列气候相关示威活动的动机所涉及的问题之间形成的关系和结构。我们测试这些问题动机网络是否形成了连贯的结构,以及它们是否反映了气候运动中对社会正义的日益重视。我们的研究结果强调了参与动机之间关系结构的一致性,特别是“平等”作为我们抽样竞争周期中的一种动机的中心地位。
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How networks of social movement issues motivate climate resistance

How do individuals make sense of the specific issues that motivate them when they participate in activism? Are there clear and consistent patterns of motivations among participants and organizers within a movement over time? This paper applies network methods to a unique dataset to understand the relationships and structure formed among the issues that activists cited as motivation for their participation in a series of climate-related demonstrations over a three-year period. We test whether these networks of issue motivations form coherent structures, and whether they reflect the growing emphasis on social justice within the climate movement. Our findings highlight the coherence in the structure of relationships among motivations to participate, especially the centrality of ‘Equality’ as a motivation within our sampled cycle of contention.

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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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