abstract: A statement appearing in social media provides a very significant challenge for determining the provenance of the statement. Provenance describes the origin, custody, and ownership of something. Most statements appearing in social media are not published with corresponding provenance data. However, the same characteristics that make the social media environment challenging, including the massive amounts of data available, large numbers of users, and a highly dynamic environment, provide unique and untapped opportunities for solving the provenance problem for social media. Current approaches for tracking provenance data do not scale for online social media and consequently there is a gap in provenance methodologies and technologies providing exciting research opportunities. The guiding vision is the use of social media information itself to realize a useful amount of provenance data for information in social media. This departs from traditional approaches for data provenance which rely on a central store of provenance information. The contemporary online social media environment is an enormous and constantly updated "central store" that can be mined for provenance information that is not readily made available to the average social media user. This research introduces an approach and builds a foundation aimed at realizing a provenance data capability for social media users that is not accessible today. / Dissertation/Thesis / Ph.D. Computer Science 2011
| Identifer | oai:union.ndltd.org:asu.edu/item:14267 |
| Date | January 2011 |
| Contributors | Barbier, Geoffrey (Author), Liu, Huan (Advisor), Bell, Herbert (Committee member), Li, Baoxin (Committee member), Sen, Arunabha (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Doctoral Dissertation |
| Format | 194 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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