Digital resignation and the datafied welfare state

IF 6.5 1区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Big Data & Society Pub Date : 2023-07-01 DOI:10.1177/20539517231206806

Christoffer Bagger, Arni Már Einarsson, Victoria Andelsman Alvarez, Maja Klausen, Stine Lomborg

引用次数: 0

Abstract

This commentary calls for further research into digital resignation within non-market contexts, particularly in relation to the datafied welfare state, as distinct from commercial big tech platforms. We aim to nuance the concept of digital resignation by relating it to the digitization of institutions and public services upholding the Danish welfare state, including health services, childcare, and news consumption. These cases illustrate that datafication stimulates citizens’ discomfort by registering privacy-intrusive information and setting new standards for being a good citizen, which resignation research can help us understand. We use the case examples to propose new avenues for digital resignation research and question whether organizations, institutions, and governments themselves can be digitally resigned. As such, the usefulness of digital resignation as a concept can be expanded.

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数字辞职和数据化的福利国家

这篇评论呼吁进一步研究非市场背景下的数字辞职，特别是与数据化的福利国家有关的数字辞职，这与商业大型科技平台不同。我们的目标是将数字辞职的概念与维护丹麦福利国家的机构和公共服务的数字化联系起来，包括卫生服务、儿童保育和新闻消费，从而使数字辞职的概念产生细微差别。这些案例说明，数据化通过登记侵犯隐私的信息，为成为一个好公民设定新的标准，从而激发了公民的不适，而辞职研究可以帮助我们理解这一点。我们通过案例提出了数字辞职研究的新途径，并质疑组织、机构和政府本身是否可以数字辞职。因此，数字辞职作为一个概念的有用性可以扩大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.