TY - GEN
T1 - Recovering information recipients in social media via provenance
AU - Feng, Zhuo
AU - Gundecha, Pritam
AU - Liu, Huan
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1145/2492517.2492629
DO - 10.1145/2492517.2492629
M3 - Conference contribution
SN - 9781450322409
T3 - Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
SP - 706
EP - 711
BT - Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
PB - Association for Computing Machinery
T2 - 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
Y2 - 25 August 2013 through 28 August 2013
ER -