Abstract

The rapid development of social media exacerbates the infor- mation overload and credibility problems. Trust, providing information about with whom we can trust to share infor- mation 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 represen- Tative 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.

Original languageEnglish (US)
Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages207
Number of pages1
ISBN (Electronic)9781450327459
DOIs
StatePublished - Apr 7 2014
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: Apr 7 2014Apr 11 2014

Other

Other23rd International Conference on World Wide Web, WWW 2014
CountryKorea, Republic of
CitySeoul
Period4/7/144/11/14

Keywords

  • Data mining
  • Dis- Trust
  • Social computing
  • Social media
  • Trust
  • Trust applications
  • Trust measurements
  • Trust modeling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Tang, J., & Liu, H. (2014). Trust in social computing. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 207). Association for Computing Machinery, Inc. https://doi.org/10.1145/2567948.2577265