A tool for collecting provenance data in social media

Pritam Gundecha, Suhas Ranganath, Zhuo Feng, Huan Liu

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

15 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationKDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
PublisherAssociation for Computing Machinery
Pages1462-1465
Number of pages4
VolumePart F128815
ISBN (Electronic)9781450321747
DOIs
StatePublished - Aug 11 2013
Event19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 - Chicago, United States
Duration: Aug 11 2013Aug 14 2013

Other

Other19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013
CountryUnited States
CityChicago
Period8/11/138/14/13

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Education

Keywords

  • Provenance
  • Provenance attributes
  • Social media

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Gundecha, P., Ranganath, S., Feng, Z., & Liu, H. (2013). A tool for collecting provenance data in social media. In KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Vol. Part F128815, pp. 1462-1465). [2487713] Association for Computing Machinery. https://doi.org/10.1145/2487575.2487713

A tool for collecting provenance data in social media. / Gundecha, Pritam; Ranganath, Suhas; Feng, Zhuo; Liu, Huan.

KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Vol. Part F128815 Association for Computing Machinery, 2013. p. 1462-1465 2487713.

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

Gundecha, P, Ranganath, S, Feng, Z & Liu, H 2013, A tool for collecting provenance data in social media. in KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. vol. Part F128815, 2487713, Association for Computing Machinery, pp. 1462-1465, 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, United States, 8/11/13. https://doi.org/10.1145/2487575.2487713
Gundecha P, Ranganath S, Feng Z, Liu H. A tool for collecting provenance data in social media. In KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Vol. Part F128815. Association for Computing Machinery. 2013. p. 1462-1465. 2487713 https://doi.org/10.1145/2487575.2487713
Gundecha, Pritam ; Ranganath, Suhas ; Feng, Zhuo ; Liu, Huan. / A tool for collecting provenance data in social media. KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Vol. Part F128815 Association for Computing Machinery, 2013. pp. 1462-1465
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