点击和微粒:价值、异化和调谐作为大数据研究的统一主题

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517231184891
G. Ottinger, K. Bronson, D. Nafus
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引用次数: 0

摘要

对数据殖民主义和监视资本主义的批评集中在从网络行为中收集的数据上。我们建议,这些批评中的分析概念,即价值体系以及异化和协调模式,可以更广泛地应用,以更好地理解数据化对社会和环境领域的公平和民主构成的威胁。价值体系,包括使数据有意义并使其有选择地可供使用的机构和技术,与营利性公司的数据实践和各州参与环境数据化都相关;研究价值体系引发了数据如何被利用以及如何被忽视的问题。与数据化相关的异化模式包括与环境异化的可能性;然而,至少在某些价值体系中,异化可能伴随着适应自然和社会现象的可能性,否则这些现象可能会被忽视。
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Clicks and particulates: Value, alienation, and attunement as unifying themes in big data studies
Critiques of data colonialism and surveillance capitalism focus on data collected from online behavior. We propose that analytical concepts from these critiques—namely, regimes of value and patterns of alienation and attunement—could be applied more widely to better understand the threats that datafication poses to equity and democracy in the social and environmental realms. Regimes of value, which include the institutions and technologies that make data meaningful and render them selectively available for appropriation, are relevant both to for-profit companies’ data practices and to states’ participation in the datafication of the environment; examining regimes of value raises questions about how data are exploited and how they are neglected. Patterns of alienation associated with datafication include the potential for alienation from the environment; however, at least in some value regimes, alienation may be accompanied by possibilities for attunement to natural and social phenomena that might otherwise have escaped notice.
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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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