监控资本主义与系统性数字风险:收集和连接的必要性和相互关联的风险

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517231177621
D. Curran
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引用次数: 1

摘要

朱伯夫的《监视资本主义时代》对监视资本主义作为一种特殊类型的信息资本主义的出现进行了有力的分析。祖伯夫有力地抓住了这个项目的许多重要影响,即创造更大、更综合的“行为盈余”系统;然而,正如贝克、佩罗和沃恩等不同的风险和组织学者所指出的那样,综合系统往往不能按预期发挥作用。虽然这些系统的不完善可能会增加监视资本主义可能不像祖伯夫所说的那样糟糕的可能性,但也有一种方式,这些系统不按预期运行可能会使监视资本主义成为一种更加反乌托邦的可能性。本着这种思路,本文提出了这样一个问题:当监控资本主义社会的工具失灵时,后果是什么?本文认为,通过思考祖伯夫的框架,我们可以识别监控资本主义社会的系统性脆弱性。这种系统性的脆弱性是通过监控资本主义如何产生对最大限度地收集数据进行剥削的必要性而显现出来的,这反过来又产生了将生活的各个方面联系起来的相应必要性。这两种收集和连接的必要性,反过来又创造了一个极其脆弱的数字系统,它在整个社会生活中产生了巨大的影响,以至于系统中的小缺陷和漏洞都会放大整个社会的风险。
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Surveillance capitalism and systemic digital risk: The imperative to collect and connect and the risks of interconnectedness
Zuboff's The Age of Surveillance Capitalism provides a powerful analysis of the emergence of surveillance capitalism as a particular type of informational capitalism. Many of the important impacts of this project of creating larger and more integrated systems of ‘behavioural surplus’ are captured powerfully by Zuboff; yet as different risk and organisational scholars such as Beck, Perrow, and Vaughan have argued, integrated systems often do not function as intended. While the imperfection of these systems may raise the possibility that surveillance capitalism may not be as bad as Zuboff suggests, there is also a way in which these systems not functioning as intended can make surveillance capitalism an even more dystopian possibility. In this vein, this paper asks: what are the consequences when the tools of a surveillance capitalist society break down? This paper argues that it is by thinking through Zuboff's framework that we can identify the systemic fragility of a surveillance capitalist society. This systemic fragility emerges through how surveillance capitalism generates imperatives towards the maximal collection of data for exploitation, which in turn generates a corresponding imperative to connect all aspects of life. Both of these imperatives, of collect and connect, in turn create an immensely fragile digital system, which has vast ramifications throughout social life, such that small imperfections and gaps in the system can magnify risk throughout society.
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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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