Spatio-temporal decision support system for natural crisis management with TweetComP1
Spatio-temporal decision support system for natural crisis management with TweetComP1
This paper discusses the design of a social media crisis mapping platform for decision making in natural disasters where tweets are analysed to achieve situational awareness during earthquake and tsunami events. A qualitative end user evaluation is undertaken on our first prototype system to get feedback from practitioners working in the field of hazard detection and early warning. Participating in our evaluation is the Kandilli Observatory and Earthquake Research Institute (KOERI) and the Portuguese Institute for the Sea and Atmosphere (IPMA). We conclude that social media crisis mapping is seen as a valuable data source by control room engineers, with update rates of 10-60 seconds and false positive rates of 10-20% (general public incident reports) needed. Filtering crisis maps and statistical reports by social media platform and user type is desirable as different report sources have different credibility and response times.
decision support, web 2.0, twitter, social media, crisis mapping, geoparsing, multilinguality, early event detection
11-21
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Zielinski, Andrea
76ccfc08-52b2-408a-ac49-5c306e7c0bd0
Necmioglu, Ocal
c172a229-728b-4c82-9fc8-62734add9adf
Hammeritzsch, Martin
7666bd88-01f8-48fa-aecb-8a0c3bb8d044
31 August 2014
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Zielinski, Andrea
76ccfc08-52b2-408a-ac49-5c306e7c0bd0
Necmioglu, Ocal
c172a229-728b-4c82-9fc8-62734add9adf
Hammeritzsch, Martin
7666bd88-01f8-48fa-aecb-8a0c3bb8d044
Middleton, Stuart, Zielinski, Andrea, Necmioglu, Ocal and Hammeritzsch, Martin
(2014)
Spatio-temporal decision support system for natural crisis management with TweetComP1.
[in special issue: Euro Working Group Workshops, EWG-DSS 2013, Thessaloniki, Greece, May 29-31, 2013, and Rome, Italy, July 1-4, 2013, Revised Selected and Extended Papers]
Decision Support Systems III - Impact of Decision Support Systems for Global Environments, 184, .
(doi:10.1007/978-3-319-11364-7_2).
Abstract
This paper discusses the design of a social media crisis mapping platform for decision making in natural disasters where tweets are analysed to achieve situational awareness during earthquake and tsunami events. A qualitative end user evaluation is undertaken on our first prototype system to get feedback from practitioners working in the field of hazard detection and early warning. Participating in our evaluation is the Kandilli Observatory and Earthquake Research Institute (KOERI) and the Portuguese Institute for the Sea and Atmosphere (IPMA). We conclude that social media crisis mapping is seen as a valuable data source by control room engineers, with update rates of 10-60 seconds and false positive rates of 10-20% (general public incident reports) needed. Filtering crisis maps and statistical reports by social media platform and user type is desirable as different report sources have different credibility and response times.
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e-pub ahead of print date: 31 August 2014
Published date: 31 August 2014
Additional Information:
Print ISBN 978-3-319-11363-0; Online ISBN 978-3-319-11364-7
Keywords:
decision support, web 2.0, twitter, social media, crisis mapping, geoparsing, multilinguality, early event detection
Organisations:
IT Innovation
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Local EPrints ID: 372906
URI: http://eprints.soton.ac.uk/id/eprint/372906
PURE UUID: bd5b10b0-92e1-4898-8fdb-9fd38db3f817
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Date deposited: 05 Jan 2015 11:36
Last modified: 15 Mar 2024 03:08
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Contributors
Author:
Andrea Zielinski
Author:
Ocal Necmioglu
Author:
Martin Hammeritzsch
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