Trust in Social Computing

Abstract

The rapid development of social media exacerbates the information overload and credibility problems. Trust, providing information about with whom we can trust to share information and from whom we can accept information, plays an important role in helping users collect relevant and reliable information in social media. Trust has become a research topic of increasing importance and of practical significance. In this tutorial, we illustrate properties and representation models of trust, elucidate trust measurements with representative algorithms, and demonstrate real-world applications where trust is explicitly used. As a new dimension of the trust study, we discuss the concept of distrust and its roles in trust measurements and applications.

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Document Details

Document Type
Technical Report
Publication Date
Apr 07, 2014
Accession Number
AD1007361

Entities

People

  • Huan Liu
  • Jiliang Tang

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Big Data
  • Commerce
  • Data Mining
  • Data Sets
  • Electronic Commerce
  • Feature Extraction
  • Machine Learning
  • Military Research
  • Probabilistic Models
  • Probability
  • Random Walk
  • Social Computing
  • Social Media
  • Social Networking Services
  • Social Networks
  • Social Sciences

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.