AAAI Publications, Fifth International AAAI Conference on Weblogs and Social Media

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Beyond Trending Topics: Real-World Event Identification on Twitter
Hila Becker, Mor Naaman, Luis Gravano

Last modified: 2011-07-05

Abstract


User-contributed messages on social media sites such as Twitter have emerged aspowerful, real-time means of information sharing on the Web. These short messages tend to reflect a variety of events in real time, making Twitter particularly well suited as a source of real-time event content. In this paper, we explore approaches for analyzing the stream of Twitter messages to distinguish between messages about real-world events andnon-event messages. Our approach relies on a rich family of aggregatestatistics of topically similar message clusters. Large-scale experiments over millions of Twitter messages show the effectiveness of our approach for surfacing real-world event content on Twitter.

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