Compromised Data

From Social Media to Big Data

Nonfiction, Reference & Language, Reference, Social & Cultural Studies, Social Science, Business & Finance
Cover of the book Compromised Data by , Bloomsbury Publishing
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Author: ISBN: 9781501306532
Publisher: Bloomsbury Publishing Publication: July 30, 2015
Imprint: Bloomsbury Academic Language: English
Author:
ISBN: 9781501306532
Publisher: Bloomsbury Publishing
Publication: July 30, 2015
Imprint: Bloomsbury Academic
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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