Big Data and Society 3 (2) (2016)
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Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the many assumptions about Big Data that permeate contemporary literature on information and society by locating instances where Big Data may be naively taken to denote objective and transparent informational entities. In this introduction to the Big Data & Society CDS special theme, we briefly describe CDS work, its orientations, and principles.
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DOI | 10.1177/2053951716674238 |
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References found in this work BETA
Representing and Intervening: Introductory Topics in the Philosophy of Natural Science.Ian Hacking - 1983 - Cambridge University Press.
Big Data: A Revolution That Will Transform How We Live, Work, and Think.[author unknown] - 2013
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Citations of this work BETA
Folk Theories of Algorithmic Recommendations on Spotify: Enacting Data Assemblages in the Global South.Mónica Sancho, Ricardo Solís, Andrés Segura-Castillo & Ignacio Siles - 2020 - Big Data and Society 7 (1).
“You Social Scientists Love Mind Games”: Experimenting in the “Divide” Between Data Science and Critical Algorithm Studies.Nick Seaver & David Moats - 2019 - Big Data and Society 6 (1).
Data Infrastructure Literacy.Liliana Bounegru, Carolin Gerlitz & Jonathan Gray - 2018 - Big Data and Society 5 (2).
Broken Data: Conceptualising Data in an Emerging World.Melisa Duque, Robert Willim, Minna Ruckenstein & Sarah Pink - 2018 - Big Data and Society 5 (1).
View all 31 citations / Add more citations
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