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

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 proceeding › Conference contribution › peer-review

74 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Publisher	The Association for Computer Linguistics
Pages	37-42
Number of pages	6
ISBN (Print)	9781941643006
Publication status	Published - 2014
Externally published	Yes

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http://eprints.hud.ac.uk/id/eprint/22915/Licence: Unspecified

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Osborne, M., Moran, S., McCreadie, R., Von Lunen, A., Sykora, M., Cano, E., Ireson, N., MacDonald, C., Ounis, I., He, Y., Jackson, T., Ciravegna, F., & 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. http://acl2014.org/acl2014/P14-5/pdf/P14-5007.pdf

@inproceedings{41bbb1363fed4f07964b9c172d050c08,

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

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.",

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

year = "2014",

language = "English",

isbn = "9781941643006",

pages = "37--42",

booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014",

publisher = "The Association for Computer Linguistics",

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}

Osborne, M, Moran, S, McCreadie, R, Von Lunen, A, Sykora, M, Cano, E, Ireson, N, MacDonald, C, Ounis, I, He, Y, Jackson, T, Ciravegna, F & 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. The Association for Computer Linguistics, pp. 37-42. <http://acl2014.org/acl2014/P14-5/pdf/P14-5007.pdf>

Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. / Osborne, Miles; Moran, Sean; McCreadie, Richard et al.

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014. The Association for Computer Linguistics, 2014. p. 37-42.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media

AU - Osborne, Miles

AU - Moran, Sean

AU - McCreadie, Richard

AU - Von Lunen, Alexander

AU - Sykora, Martin

AU - Cano, Elizabeth

AU - Ireson, Neil

AU - MacDonald, Craig

AU - Ounis, Iadh

AU - He, Yulan

AU - Jackson, Tom

AU - Ciravegna, Fabio

AU - O'Brien, Ann

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 9781941643006

SP - 37

EP - 42

BT - Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014

PB - The Association for Computer Linguistics

ER -

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

Abstract

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