Information provenance in social media

Geoffrey Barbier, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations


Information appearing in social media provides a challenge for determining the provenance of the information. However, the same characteristics that make the social media environment challenging provide unique and untapped opportunities for solving the information provenance problem for social media. Current approaches for tracking provenance information do not scale for social media and consequently there is a gap in provenance methodologies and technologies providing exciting research opportunities for computer scientists and sociologists. This paper introduces a theoretical approach aimed guiding future efforts to realize a provenance capability for social media that is not available today. The guiding vision is the use of social media information itself to realize a useful amount provenance data for information in social media.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings
Number of pages8
StatePublished - 2011
Event4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011 - College Park, MD, United States
Duration: Mar 29 2011Mar 31 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6589 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011
Country/TerritoryUnited States
CityCollege Park, MD


  • data mining
  • data provenance
  • information provenance
  • provenance
  • provenance path
  • social media

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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