TY - GEN
T1 - A tool for collecting provenance data in social media
AU - Gundecha, Pritam
AU - Ranganath, Suhas
AU - Feng, Zhuo
AU - Liu, Huan
N1 - Funding Information:
6. ACKNOWLEDGMENTS This research is sponsored by the Army Research Office [ARO, #025071].
PY - 2013/8/11
Y1 - 2013/8/11
N2 - In recent years, social media sites have provided a large amount of information. Recipients of such information need mechanisms to know more about the received information, including the provenance. Previous research has shown that some attributes related to the received information provide additional context, so that a recipient can assess the amount of value, trust, and validity to be placed in the received information. Personal attributes of a user, including name, location, education, ethnicity, gender, and political and religious affiliations, can be found in social media sites. In this paper, we present a novel web-based tool for collecting the at-Tributes of interest associated with a particular social media user related to the received information. This tool provides a way to combine different attributes available at different social media sites into a single user profile. Using different types of Twitter users, we also evaluate the performance of the tool in terms of number of attribute values collected, validity of these values, and total amount of retrieval time.
AB - In recent years, social media sites have provided a large amount of information. Recipients of such information need mechanisms to know more about the received information, including the provenance. Previous research has shown that some attributes related to the received information provide additional context, so that a recipient can assess the amount of value, trust, and validity to be placed in the received information. Personal attributes of a user, including name, location, education, ethnicity, gender, and political and religious affiliations, can be found in social media sites. In this paper, we present a novel web-based tool for collecting the at-Tributes of interest associated with a particular social media user related to the received information. This tool provides a way to combine different attributes available at different social media sites into a single user profile. Using different types of Twitter users, we also evaluate the performance of the tool in terms of number of attribute values collected, validity of these values, and total amount of retrieval time.
KW - Provenance
KW - Provenance attributes
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=84978716123&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978716123&partnerID=8YFLogxK
U2 - 10.1145/2487575.2487713
DO - 10.1145/2487575.2487713
M3 - Conference contribution
AN - SCOPUS:84978716123
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 1462
EP - 1465
BT - KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
A2 - Parekh, Rajesh
A2 - He, Jingrui
A2 - Inderjit, Dhillon S.
A2 - Bradley, Paul
A2 - Koren, Yehuda
A2 - Ghani, Rayid
A2 - Senator, Ted E.
A2 - Grossman, Robert L.
A2 - Uthurusamy, Ramasamy
PB - Association for Computing Machinery
T2 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013
Y2 - 11 August 2013 through 14 August 2013
ER -