作为平台中介监控的数字身份

IF 6.5 1区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517221135176

S. Masiero

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引用次数: 2

摘要

数字身份系统通常被视为现有人口的数据分析器。然而，平台观点在数字身份话语中发现了有限的空间，其结果是，数字身份系统的平台特征与它们的监控结果没有关系。在这篇评论中，我阐明了数字身份系统的核心平台属性是如何对弱势群体进行不当监视的，导致用户陷入要么注册并被分析，要么放弃从发展计划提供者那里获得的基本利益的二元状态。通过这样做，我对经常应用于数字身份的“黑暗面”叙述提出了质疑，我认为，数字身份平台的内在问题，而不仅仅是一面，才是监控结果的根源。

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Digital identity as platform-mediated surveillance

Digital identity systems are usually viewed as datafiers of existing populations. Yet a platform view finds limited space in the digital identity discourse, with the result that the platform features of digital identity systems are not seen in relation to their surveillance outcomes. In this commentary I illuminate how the core platform properties of digital identity systems afford the undue surveillance of vulnerable groups, leading users into the binary condition of either registering and being profiled, or giving up essential benefits from providers of development programmes. By doing so I contest the “dark side” narrative often applied to digital identity, arguing that, rather than just a side, it is the very inner matter of digital identity platforms that enables surveillance outcomes.

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来源期刊

Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

10.90

自引率

10.60%

发文量

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.