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Breaking away from family control? Collaboration among political organisations and social media endorsement among their constituents
Policy Sciences ( IF 3.8 ) Pub Date : 2024-11-20 , DOI: 10.1007/s11077-024-09553-6
Paul M. Wagner, Arttu Malkamäki, Tuomas Ylä-Anttila

Coalitions that engage in political advocacy are constituted by organisations, which are made up of individuals and organisational subunits. Comparing the coalitions formed by organisations to the those formed by their constituent parts provides a means of examining the extent to which their coalition memberships are aligned. This paper applies inferential network clustering methods to survey data collected from organisations engaging in Irish climate change politics and to X (formerly twitter) data extracted from both the primary accounts of these organisations and the accounts of the individuals and subunits affiliated with them. Analysis of the survey-based organisation-level policy network finds evidence of an outsider coalition, formed by non-governmental organisations, labour unions and left-leaning political parties, and an insider coalition formed by the two main political parties in government, energy sector organisations, business and agricultural interests, scientific organisations, and government bodies. An analysis of the X-based account-level endorsement network finds evidence for a nested coalition structure wherein there are multiple distinct communities, which largely align with the organisation-level coalitions. Most interestingly, the largest and most active community is formed by accounts affiliated with the organisations with agricultural interests—the sector most opposed to ambitious climate action in Ireland. The results show how the somewhat disjoint behaviours of formal organisations and their affiliates give rise to nested coalitions, which can only be identified by disaggregating organisations by their constituent parts.



中文翻译:


摆脱家庭控制?政治组织之间的合作及其选民之间的社交媒体认可



从事政治倡导的联盟由组织组成,这些组织由个人和组织子单位组成。将组织组成的联盟与其组成部分组成的联盟进行比较,提供了一种检查其联盟成员的一致性程度的方法。本文将推理网络聚类方法应用于调查从参与爱尔兰气候变化政治的组织收集的数据,以及从这些组织的主要账户以及与其相关的个人和子单位的账户中提取的 X(以前称为 twitter)数据。对基于调查的组织级政策网络的分析发现,由非政府组织、工会和左倾政党组成的外部联盟,以及由政府、能源部门组织、商业和农业利益、科学组织和政府机构中的两个主要政党组成的内部联盟。对基于 X 的账户级背书网络的分析发现了嵌套联盟结构的证据,其中有多个不同的社区,这些社区在很大程度上与组织级联盟保持一致。最有趣的是,最大和最活跃的社区是由隶属于农业利益组织的账户组成的,该部门最反对爱尔兰雄心勃勃的气候行动。结果显示了正式组织及其附属机构之间有些脱节的行为如何产生嵌套联盟,而嵌套联盟只能通过按其组成部分对组织进行分解来识别。

更新日期:2024-11-20
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