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Titlebook: New Perspectives in Critical Data Studies; The Ambivalences of Andreas Hepp,Juliane Jarke,Leif Kramp Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if a

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發(fā)表于 2025-3-21 19:20:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱New Perspectives in Critical Data Studies
副標(biāo)題The Ambivalences of
編輯Andreas Hepp,Juliane Jarke,Leif Kramp
視頻videohttp://file.papertrans.cn/666/665565/665565.mp4
概述This is an Open Access book, which means you have free and unlimited access.Instigates debate on the role data and data infrastructures play in the public interest.Engages with issues related to welfa
叢書(shū)名稱Transforming Communications – Studies in Cross-Media Research
圖書(shū)封面Titlebook: New Perspectives in Critical Data Studies; The Ambivalences of  Andreas Hepp,Juliane Jarke,Leif Kramp Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if a
描述.This Open Access book examines the ambivalences of data power. Firstly, the ambivalences between global infrastructures and local invisibilities challenge the grand narrative of the ephemeral nature of a global data infrastructure. They make visible local working and living conditions, and the resources and arrangements required to operate and run them. Secondly, the book examines ambivalences between the state and data justice. It considers data justice in relation to state surveillance and data capitalism, and reflects on the ambivalences between an “entrepreneurial state” and a “welfare state”. Thirdly, the authors discuss ambivalences of everyday practices and collective action, in which civil society groups, communities, and movements try to position the interests of people against the “big players” in the tech industry. The book includes eighteen chapters that provide new and varied perspectives on the role of data and data infrastructures in our increasingly datafied societies..
出版日期Book‘‘‘‘‘‘‘‘ 2022
關(guān)鍵詞data infrastructure; data literacy; surveillance; algorithms; data capitalism; critical data research; dee
版次1
doihttps://doi.org/10.1007/978-3-030-96180-0
isbn_softcover978-3-030-96182-4
isbn_ebook978-3-030-96180-0Series ISSN 2730-9320 Series E-ISSN 2730-9339
issn_series 2730-9320
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
The information of publication is updating

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沙發(fā)
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發(fā)表于 2025-3-22 01:57:28 | 只看該作者
Andreas Hepp,Juliane Jarke,Leif KrampThis is an Open Access book, which means you have free and unlimited access.Instigates debate on the role data and data infrastructures play in the public interest.Engages with issues related to welfa
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發(fā)表于 2025-3-22 16:09:19 | 只看該作者
,New Perspectives in Critical Data Studies: The Ambivalences of Data Power—An Introduction,” in the tech industry. With this introduction, we want to make the argument that seeing data power and its irreducible ambivalences in a pointed way will provide an orientation to the chapters of this book. To this end, we first give a brief outline of the development of critical data studies. In p
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發(fā)表于 2025-3-22 17:13:47 | 只看該作者
Data Power and Counter-power with Chinese Characteristicsghlighting the crucial importance of geopolitics and national security concerns as well as internal class struggles and existential threats to the working people. Data power and counter-power are not only antithetical to each other, they also necessitate, reproduce, co-create, and strengthen one ano
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The Power of Data Science Ontogeny: Thick Data Studies on the Indian IT Skill Tutoring Microcosmearch conducted in two IT skill training parks to underpin arguments about emerging neo-educational learning structures suited to a data science education for new livelihood opportunities in an IT-accredited India. Our chapter makes a case for looking at ‘data studies’ from an ethnographic perspecti
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發(fā)表于 2025-3-23 09:10:08 | 只看該作者
The Datafied Welfare State: A Perspective from the UK, on the other, entrenching a dependency on an economic model that perpetuates the circulation of data accumulation (what I refer to as rentierism). These mechanisms, I argue, fundamentally shift the ‘matrix of social power’ that made the modern welfare state possible and position questions of data
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