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

Contributor(s):

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781501306525
9781501306532
1501306537
1501306529
9781501306549
1501306545

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: Compromised data.DDC classification:

006.3/12 23

LOC classification:

QA76.9.D343 C4785 2015eb

Online resources:

EBSCOhost

Contents:

Big Data as System of Knowledge : Investigating Canadian Governance / Joanna Redden -- Data Mining Research and the Disintegration of Society : the "Project X" / Haren Riots Ingrid M. Hoofd -- Look at the Man Behind the Curtain : Computational Management in "Spontaneous" Citizen Political Campaigning / David Karpf -- Easy Data, Hard Data : The politics and pragmatics of Twitter research after the computational turn / Axel Bruns and Jean Burgess -- Scraping the First Person / Greg Elmer -- Open Data and its Enemies? : Digital Methods and Compromised Data / Fenwick McKelvey -- Critical Reverse Engineering : The Case of Twitter and TalkOpen / Robert Gehl -- Mapping Movements, Social Movement Research and Big Data : Critiques and Alternatives / Sky Croeser and Tim Highfield -- Data Activism / Alessandra Renzi and Ganaele Langlois -- A Contribution to the Political Economy of Personal Archives / Yuk Hui -- The Haunted Life of Data / Lisa Blackman.

Summary: 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.

Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
eBook	e-Library	EBSCO Social Science		Available

Total holds: 0

Print version record.

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.

Includes bibliographical references and index.

WorldCat record variable field(s) change: 050