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- Authors:
- Bella Robinson CSIRO, Canberra, Australia,
CSIRO, Canberra, Australia
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- Robert Power CSIRO, Canberra, Australia,
CSIRO, Canberra, Australia
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- Mark Cameron CSIRO, Canberra, Australia
CSIRO, Canberra, Australia
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WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide WebMay 2013Pages 999–1002https://doi.org/10.1145/2487788.2488101
Published:13 May 2013Publication History
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WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
A sensitive Twitter earthquake detector
Pages 999–1002
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ABSTRACT
This paper describes early work at developing an earthquake detector for Australia and New Zealand using Twitter. The system is based on the Emergency Situation Awareness (ESA) platform which provides all-hazard information captured, filtered and analysed from Twitter. The detector sends email notifications of evidence of earthquakes from Tweets to the Joint Australian Tsunami Warning Centre.
The earthquake detector uses the ESA platform to monitor Tweets and checks for specific earthquake related alerts. The Tweets that contribute to an alert are then examined to determine their locations: when the Tweets are identified as being geographically close and the retweet percentage is low an email notification is generated.
The earthquake detector has been in operation since December 2012 with 31 notifications generated where 17 corresponded with real, although minor, earthquake events. The remaining 14 were a result of discussions about earthquakes but not prompted by an event. A simple modification to our algorithm results in 20 notifications identifying the same 17 real events and reducing the false positives to 3. Our detector is sensitive in that it can generate alerts from only a few Tweets when they are determined to be geographically close.
References
- M. A. Cameron, R. Power, B. Robinson, and J. Yin. Emergency situation awareness from twitter for crisis management. In Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pages 695--698, New York, NY, USA, 2012. ACM. Google Scholar
Digital Library - Z. Cheng, J. Caverlee, and K. Lee. You are where you tweet: a content-based approach to geo-locating twitter users. In J. Huang, N. Koudas, G. J. F. Jones, X. Wu, K. Collins-Thompson, and A. An, editors, CIKM, pages 759--768. ACM, 2010. Google ScholarDigital Library
- P. S. Earle, D. C. Bowden, and M. Guy. Twitter earthquake detection: earthquake monitoring in a social world. Annals of GeoPhysics, 54(6):708--715, 2012.Google Scholar
- Y. Ikawa, M. Enoki, and M. Tatsubori. Location inference using microblog messages. In Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pages 687--690, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
- T. Sakaki, M. Okazaki, and Y. Matsuo. Earthquake shakes twitter users: real-time event detection by social sensors. In Proceedings of the 19th international conference on World wide web, WWW '10, pages 851--860, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- J. Yin, A. Lampert, M. Cameron, B. Robinson, and R. Power. Using social media to enhance emergency situation awareness. IEEE Intelligent Systems, 27(6):52--59, 2012. Google ScholarDigital Library
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Index Terms
A sensitive Twitter earthquake detector
Information systems
Information systems applications
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Published in
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
May 2013
1636 pages
ISBN:9781450320382
DOI:10.1145/2487788
- General Chairs:
- Daniel Schwabe
PUC-Rio - Brazil
, - Virgílio Almeida
UFMG - Brazil
, - Hartmut Glaser
CGI.br - Brazil
, - Program Chairs:
- Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
, - Sue Moon
KAIST - South Korea
Copyright © 2013 Copyright is held by the International World Wide Web Conference Committee (IW3C2).
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Association for Computing Machinery
New York, NY, United States
Publication History
- Published: 13 May 2013
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- crisis management
- disaster management
- situation awareness
- social media
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WWW '13 Companion Paper Acceptance Rate831of1,250submissions,66%Overall Acceptance Rate1,899of8,196submissions,23%
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