Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media

Miles Osborne, Sean Moran, Richard McCreadie, Alexander Von Lunen, Martin Sykora, Elizabeth Cano, Neil Ireson, Craig MacDonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien

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

Abstract

We introduce ReDites, a system for realtime event detection, tracking, monitoring and visualisation. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. Events are automatically detected from the Twitter stream. Then those that are categorised as being security-relevant are tracked, geolocated, summarised and visualised for the end-user. Furthermore, the system tracks changes in emotions over events, signalling possible flashpoints or abatement. We demonstrate the capabilities of ReDites using an extended use case from the September 2013 Westgate shooting incident. Through an evaluation of system latencies, we also show that enriched events are made available for users to explore within seconds of that event occurring.
Original languageEnglish
Title of host publicationProceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
PublisherThe Association for Computer Linguistics
Pages37-42
Number of pages6
ISBN (Print)9781941643006
Publication statusPublished - 2014
Externally publishedYes

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Osborne, M., Moran, S., McCreadie, R., Von Lunen, A., Sykora, M., Cano, E., ... O'Brien, A. (2014). Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 (pp. 37-42). The Association for Computer Linguistics.