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TriggerCit: Early Flood Alerting using Twitter and Geolocation – A Comparison with Alternative Sources
Carlo Alberto Bono
author
Barbara Pernici
author
Jose Luis Fernandez-Marquez
author
Amudha Ravi Shankar
author
Mehmet Oguz Mülâyim
author
Edoardo Nemni
author
2022
Tarbes, France
English
Rapid impact assessment in the immediate aftermath of a natural disaster is essential to provide adequate information to international organisations, local authorities, and first responders. Social media can support emergency response with evidence-based content posted by citizens and organisations during ongoing events. In the paper, we propose TriggerCit: an early flood alerting tool with a multilanguage approach focused on timeliness and geolocation. The paper focuses on assessing the reliability of the approach as a triggering system, comparing it with alternative sources for alerts, and evaluating the quality and amount of complementary information gathered. Geolocated visual evidence extracted from Twitter by TriggerCit was analysed in two case studies on floods in Thailand and Nepal in 2021. The system respectively returned a large scale and a local scale alert, both in a timely manner and accompanied by a valid geographical description, while providing information complementary to existing disaster alert mechanisms.
Social Media
Disaster management
Early Alerting
exported from refbase (http://idl.iscram.org/show.php?record=2447), last updated on Thu, 03 Nov 2022 21:51:15 +0100
text
http://idl.iscram.org/files/carloalbertobono/2022/2447_CarloAlbertoBono_etal2022.pdf
CarloAlbertoBono_etal2022
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management
Iscram 2022
Rob Grace
editor
Hossein Baharmand
editor
2022
Tarbes, France
conference publication
674
686
978-82-8427-099-9
2411-3387
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