数据领域:数据行动主义的关系动态

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517231177617
Bartosz Ślosarski
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引用次数: 0

摘要

文章提出了数据领域的理论类别,作为有争议的数据政治的不同领域中战略参与者的关系领域(Beraldo和Milan,2019)。该论文认为,数据行动主义的概念化需要与行动发生的直接数据领域相关,以便为新兴的数据驱动行动选择互动机会和威胁。为了充分利用数据激进主义的关系动力学,有必要从数据基础设施的概念化转变为数据领域的概念,将其视为“允许进行某些类型的交互的开放式规则和资源束”(Jasper,2006:141)。以环境数据行动主义为例,我强调了要研究的四个关键维度:(a)将数据作为区分和定位参与者的资本进行战略使用,并影响他们的进一步选择;(b) 界定竞技场所关注问题的边界,并概述参与解决问题过程的参与者的做法;(3) 概述的行动者群体之间的关系集,代表行动者的机会和威胁,与他们在竞技场中的地位有关;以及(4)权力,即控制和塑造竞技场的能力。数据竞技场方法将数据情境和数据的政治情境研究的最新发展与新兴的数据行动主义研究领域相结合,为数据行动主义作为一种关系实践提供了新的视角。
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Data arenas: The relational dynamics of data activism
The article proposes the theoretical category of data arenas as a relational field for strategic actors in diverse areas of the contentious politics of data (Beraldo and Milan, 2019). The paper argues that the conceptualization of data activism needs to be related to the immediate data arena in which the action takes place, in order to select the interactive opportunities and threats for emerging data-driven repertoires of action. To fully work through the relational dynamics of data activism, it is necessary to move from a conceptualization of data infrastructure to the notion of data arenas as an ‘open-ended bundle of rules and resources that allows certain kinds of interaction to proceed’ (Jasper, 2006: 141). Using the case of environmental data activism, I highlight four key dimensions to study: (a) strategic use of data as capital that differentiates and positions actors, as well as influences their further choices; (b) practices of defining the boundaries of the problem on which the arena focuses and outlining the pool of actors who participate in the process of solving it; (3) sets of relationships among the outlined pool of actors which represent opportunities and threats for the actors, related to the position they occupy within an arena; and (4) power as the ability to control and shape an arena. Data arena approach shed new light on data activism as a relational practice, combining the latest developments in research on data contexts and the political situatedness of data with the emerging field of research on data activism.
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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