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Compromised data : from social media to big data edited by Ganaele Langlois ; Joanna Redden and Greg Elmer

Contributor(s): Material type: TextTextPublication details: New York : Bloomsbury Academic, an imprint of Bloomsbury Pub., Inc., c2015.Description: ix, 284 p. : ill. ; 23 cmISBN:
  • 9781501306518
Subject(s): DDC classification:
  • 006.312
Online resources: Summary: 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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Holdings
Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 006.312 CO MP (Browse shelf(Opens below)) Available T0030226

Includes bibliographical references and index.

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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