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Provenance data in social media

Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For examp...

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书目详细资料
其他作者: Barbier, Geoffrey
格式: 电子书
语言:English
出版: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013.
丛编:Synthesis digital library of engineering and computer science.
Synthesis lectures on data mining and knowledge discovery ; # 7.
主题:
在线阅读:Abstract with links to full text
书本目录:
  • 1. Information provenance in social media
  • 1.1 Social media
  • 1.2 Social media data
  • 1.3 Information provenance
  • 1.4 The information provenance problem
  • 1.5 Challenges
  • 1.6 In search of provenance data
  • 1.6.1 Analyzing provenance attributes
  • 1.6.2 Seeking provenance via network information
  • 1.6.3 Searching for provenance data
  • 1.7 Summary
  • 2. Provenance attributes
  • 2.1 Defining provenance attributes
  • 2.2 Measuring provenance attributes
  • 2.3 Analyzing provenance attributes
  • 2.4 Summary
  • 3. Provenance via network information
  • 3.1 Information propagation models
  • 3.1.1 Susceptible-infected (SI) model
  • 3.1.2 Independent-cascade (IC) model
  • 3.2 Seeking provenance of information
  • 3.2.1 Directly seeking sources when all recipients are known
  • 3.2.2 Finding provenance paths when a few recipients are known
  • 3.3 Key issues in information provenance
  • 3.4 Summary
  • 4. Provenance data
  • 4.1 An iterative framework
  • 4.2 Propagation history
  • 4.2.1 Feature extraction
  • 4.2.2 Ranking measures
  • 4.2.3 Follower-ranking prediction methods
  • 4.3 A case study of disinformation in Assam Exodus
  • 4.4 Summary
  • A. Notations
  • B. Online provenance data tool
  • Bibliography
  • Authors' biography.