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220822 ||| eng |
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|a 9781350239654
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|a 9781350239630
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|a 9781350239623
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|a Edmond, Jennifer
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|a The Trouble With Big Data
|h Elektronische Ressource
|b How Datafication Displaces Cultural Practices
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| 260 |
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|a London
|b Bloomsbury Academic
|c 2021
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| 300 |
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|a 1 electronic resource (192 p.)
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|a IT and Technology Law (Law)
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|a Media studies / bicssc
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|a Literary Studies
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|a Contemporary Literature (Lit Studies)
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|a History of Science, Technology and Medicine (History)
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|a Data capture and analysis / bicssc
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|a Literature, Media and Technology (Lit Studies)
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|a Sociology of Science and Technology (Sociology)
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|a New Media and Technology (Film & Media)
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|a Digital Lifestyle and online world: consumer and user guides / bicssc
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|a Monograph
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|a Philosophy of Science (Philosophy)
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|a Sociology of Culture, Arts and the Media (Sociology ASC2)
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|a Digital Art and Media (Film & Media)
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1 |
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|a Horsley, Nicola
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|a Lehmann, Jörg
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|a Priddy, Mike
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|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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|a Bloomsbury Studies in Digital Cultures
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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|a 10.5040/9781350239654
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|u https://directory.doabooks.org/handle/20.500.12854/77391
|z DOAB: description of the publication
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|u https://library.oapen.org/bitstream/20.500.12657/52496/2/9781350239647.epub
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|x Verlag
|3 Volltext
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|a 900
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|a This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.
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