Abstract

In recent years, social media has changed the way we interact and communicate. Although the existing structure of social media allows users to easily create, receive, and propagate pieces of information, many a time, users do not have background knowledge about the received information, including the provenance (sources or originators) of information, and other recipients who may have retransmitted or modified the information. Providing such additional context to the received information can help users know how much value, trust, and validity should be placed in received information. To judge the credibility of the received piece of information, it is vital to know who are its sources, and how information propagates from sources to other social media users. In this paper, we are studying a novel research problem that facilitates a few known recipients to recover other unknown recipients, and seek the provenance of information. The experimental results with Facebook and Twitter datasets show that the proposed algorithm is effective in correctly recovering the unknown recipients and seeking the provenance of information.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
PublisherAssociation for Computing Machinery
Pages706-711
Number of pages6
ISBN (Print)9781450322409
DOIs
StatePublished - 2013
Event2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 - Niagara Falls, ON, Canada
Duration: Aug 25 2013Aug 28 2013

Other

Other2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
CountryCanada
CityNiagara Falls, ON
Period8/25/138/28/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Feng, Z., Gundecha, P., & Liu, H. (2013). Recovering information recipients in social media via provenance. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 (pp. 706-711). Association for Computing Machinery. https://doi.org/10.1145/2492517.2492629

Recovering information recipients in social media via provenance. / Feng, Zhuo; Gundecha, Pritam; Liu, Huan.

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. p. 706-711.

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

Feng, Z, Gundecha, P & Liu, H 2013, Recovering information recipients in social media via provenance. in Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, pp. 706-711, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, ON, Canada, 8/25/13. https://doi.org/10.1145/2492517.2492629
Feng Z, Gundecha P, Liu H. Recovering information recipients in social media via provenance. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery. 2013. p. 706-711 https://doi.org/10.1145/2492517.2492629
Feng, Zhuo ; Gundecha, Pritam ; Liu, Huan. / Recovering information recipients in social media via provenance. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. pp. 706-711
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