Compromised Data : From Social Media to Big Data

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Title: Compromised Data : From Social Media to Big Data
Description: 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.
Authors: Greg Elmer, Ganaele Langlois, Joanna Redden
Resource Type: eBook.
Subjects: Online social networks, Big data, Computer security, Data mining--Social aspects, Social media
Categories: SOCIAL SCIENCE / Media Studies
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1018397
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
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  Data: Compromised Data : From Social Media to Big Data
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Greg+Elmer%22">Greg Elmer</searchLink><br /><searchLink fieldCode="AR" term="%22Ganaele+Langlois%22">Ganaele Langlois</searchLink><br /><searchLink fieldCode="AR" term="%22Joanna+Redden%22">Joanna Redden</searchLink>
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  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Online+social+networks%22">Online social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+security%22">Computer security</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining--Social+aspects%22">Data mining--Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Media+Studies%22">SOCIAL SCIENCE / Media Studies</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Online social networks
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Computer security
        Type: general
      – SubjectFull: Data mining--Social aspects
        Type: general
      – SubjectFull: Social media
        Type: general
    Titles:
      – TitleFull: Compromised Data : From Social Media to Big Data
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Greg Elmer
      – PersonEntity:
          Name:
            NameFull: Ganaele Langlois
      – PersonEntity:
          Name:
            NameFull: Joanna Redden
      – PersonEntity:
          Name:
            NameFull: Greg Elmer
      – PersonEntity:
          Name:
            NameFull: Ganaele Langlois
      – PersonEntity:
          Name:
            NameFull: Joanna Redden
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 30
              M: 07
              Type: profile
              Y: 2015
          Identifiers:
            – Type: isbn-print
              Value: 9781501306501
            – Type: isbn-print
              Value: 9781501306518
            – Type: isbn-electronic
              Value: 9781501306525
            – Type: isbn-electronic
              Value: 9781501306532
          Titles:
            – TitleFull: Compromised Data : From Social Media to Big Data
              Type: main
ResultId 1