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
{"title":"Digital resignation and the datafied welfare state","authors":"Christoffer Bagger, Arni Már Einarsson, Victoria Andelsman Alvarez, Maja Klausen, Stine Lomborg","doi":"10.1177/20539517231206806","DOIUrl":null,"url":null,"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":"9 1","pages":"0"},"PeriodicalIF":6.5000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data & Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20539517231206806","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Is there a role of the kidney failure risk equation in optimizing timing of vascular access creation in pre-dialysis patients? From rules to examples: Machine learning's type of authority Outlier bias: AI classification of curb ramps, outliers, and context Artificial intelligence and skills in the workplace: An integrative research agenda Redress and worldmaking: Differing approaches to algorithmic reparations for housing justice
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1