Bates, J. orcid.org/0000-0001-7266-8470 (2021) Big data and data analytics. In: Elliott, A., (ed.) The Routledge Social Science Handbook of AI. Routledge ISBN 9780367188252
Abstract
Vast reams of data were being produced by new technologies such as social media platforms and smart city infrastructures. Urban geographer Rob Kitchin, was also beginning to pose similar questions with a focus on the emergence of Smart Cities. More recently, the epistemological debates around big data have drawn on feminist and decolonial lenses to illuminate some of the ways that historically constituted social injustices become embedded in the ‘universalist’ knowledge claims emerging from many big data systems. As Kitchin argued in his book The Data Revolution, “there is a need to develop conceptual and philosophical ways to make sense of data”. In 2014, when the book was published, there was a relatively limited conceptual apparatus through which to make sense of the emergence of big data and related analytics, but it was not long before scholars stepped into the space with a variety of conceptual tools that could be used to help illuminate what was unfolding.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2022 The Author. This is an author-produced version of a book chapter subsequently published in The Routledge Social Science Handbook of AI. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Dec 2020 13:52 |
Last Modified: | 13 Jan 2023 01:13 |
Status: | Published |
Publisher: | Routledge |
Refereed: | Yes |
Identification Number: | 10.4324/9780429198533-20 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169086 |