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Compromised data: from social media to big data

Langlois, Ganaele, Redden, Joanna ORCID: https://orcid.org/0000-0002-9480-0951 and Elmer, Greg, eds. 2015. Compromised data: from social media to big data. London: Bloomsbury.

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Abstract

There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enlightenment. But social data is compromised: it is being seized by specific economic interests, it leads to a fundamental shift in the relationship between research and the public good, and it fosters new forms of control and surveillance. Compromised Data: From Social Media to Big Data explores how we perform critical research within a compromised social data framework. The expert, international lineup of contributors explores the limits and challenges of social data research in order to invent and develop new modes of doing public research. At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.

Item Type: Book
Book Type: Edited Book
Date Type: Publication
Status: Published
Schools: Journalism, Media and Culture
Subjects: H Social Sciences > HM Sociology
Publisher: Bloomsbury
ISBN: 9781501306525
Date of First Compliant Deposit: 25 September 2018
Last Modified: 11 Nov 2022 09:29
URI: https://orca.cardiff.ac.uk/id/eprint/86449

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