Title :
Toward formal reasoning with epistemic policies about information quality in the twittersphere
Author :
Ulicny, Brian ; Kokar, Mieczyslaw M.
Author_Institution :
VIStology, Inc., Framingham, MA, USA
Abstract :
Some recent systems accurately produce high-level situational awareness by mining traffic in Twitter. Where these systems have been successful, there has been no attempt to evaluate Twitter streams for source reliability and information credibility because the situations have not been adversarial. The use of Twitter in recent political dissent in the Mideast makes the need for computationally tractable approaches to evaluating Twitter source reliability and information credibility more acute in order to produce accurate situation awareness in the face of misinformation or deliberate disinformation.
Keywords :
data mining; social networking (online); Mideast; Twitter source reliability; Twitter streams; deliberate disinformation; epistemic policies; formal reasoning; high-level situational awareness; information credibility; information quality; mining traffic; misinformation; twittersphere; Blogs; Google; Measurement; Reliability; Resource description framework; Twitter; Twitter; credibility; information evaluation; reliability; situation awareness; social network analysis; soft data fusion; source independence;
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9