Numbers will not save us: Agonistic data practices
Numbers will not save us: Agonistic data practices
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DOI：
10.1080/01972243.2021.1920081
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发表时间：
2021-04-21
影响因子：
3.5
通讯作者：
Currie, Morgan
中科院分区：
文献类型：
--
作者：
Crooks, Roderic;Currie, Morgan
当代形式的数据行动主义为社区组织者提供了采取政治行动的手段，但它们同时威胁要让个人和社区负责记录国家已知的集体伤害。在本文中，我们利用莫夫对竞争性多元主义的阐述，从双重束缚的角度分析了最近有关数据行动主义的文献，即当数据用于激进主义目的时，真实的社区声音可能会被削弱。我们认为，社区组织者通过竞争性数据实践来应对这种双重困境，这些策略利用数据的情感和叙事潜力来质疑多数政治代理人合理化其行动和指导政策的条款。竞争性数据实践并不假定数据会导致代议制政府中更公平的共识或公共领域中更理性的辩论；相反，竞争性的数据实践会调动对抗性，从而激励人们采取行动，想象替代性的政治安排，并为长期的集体行动做出贡献。最后，我们制定了一项研究议程，重点关注洛杉矶都会区少数族裔社区中实施的竞争性数据实践。
Contemporary forms of data activism promise community organizers the means to pursue political action, but they simultaneously threaten to responsibilize individuals and communities for documenting collective harms that are already known to the state. In this article, we use Mouffe's articulation of agonistic pluralism to analyze recent literature on data activism in terms of this double bind, the threat that authentic community voice might be muted when data is used for activist purposes. We argue that community organizers navigate this double bind through agonistic data practices, tactics which draw on the affective and narrative potentialities of data to dispute the terms by which majoritarian political agents rationalize their actions and direct policy. Agonistic data practices do not presume that data will lead to more equitable consensus in representative government or to a more rational debate in the public sphere; instead, agonistic data practices mobilize the antagonisms that motivate people to act, to imagine alternative political arrangements, and to contribute to long-term collective action. We conclude by mapping out a research agenda that focuses on agonistic data practices enacted in minoritized communities in the Los Angeles metropolitan area.