‘I’ve left enough data’: Relations between people and data and the production of surveillance

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Hwankyung Janet Lee
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Abstract

Exploring emergent relations between data-producing individuals and their data products, this study aims to contribute to the ongoing scholarly discussion on agencies in data practices. It focuses on shifts in surveillance structure in the era of Big Data, in which the individual becomes both a subject and an object in the production of data surveillance. Drawing on the concept of the ‘dividual’, the study analyses data practices for a tracing system invented by the South Korean government during the COVID-19 pandemic, with findings from field research conducted with 11 research participants in various urban sites in Seoul. Highlighting how the tracing system positioned surveillance ‘in the hands of citizens’, the study exposes the complexities of the relations that the participants formed with the data they produced, and how they reflexively reappropriated their practices through alterations and deflections on the basis of their tacit knowledge and imaginaries concerning digital data and their constituent positions in the knowledge production system. The resultant expression of surveillance was directly shaped by the evolving relationship between the producers (participants) and products (digital data). The study proposes that an intersectional focus on surveillance and critical data studies, with close attention to ordinary people's relations with data, has the capacity to inquire into the politics of data more fully.
“我已经留下了足够的数据”:人与数据之间的关系以及监控的产生
本研究旨在探讨数据生产个体与其数据产品之间的新兴关系,为数据实践中机构的学术讨论做出贡献。关注大数据时代监控结构的转变,个人在数据监控的生产过程中既是主体又是客体。根据“个人”的概念,该研究分析了韩国政府在2019冠状病毒病大流行期间发明的追踪系统的数据实践,并根据在首尔不同城市地点对11名研究参与者进行的实地研究的结果。该研究强调了追踪系统如何将监控置于“公民手中”,揭示了参与者与他们产生的数据形成的关系的复杂性,以及他们如何根据他们对数字数据的隐性知识和想象以及他们在知识生产系统中的组成位置,通过改变和偏转来反射性地重新利用他们的实践。监视的最终表现形式直接受到生产者(参与者)和产品(数字数据)之间不断演变的关系的影响。该研究提出,对监控和关键数据研究的交叉关注,密切关注普通人与数据的关系,有能力更充分地探究数据的政治。
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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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