Automatic sub-event detection in emergency management using social media

Authors:
Daniela Pohl;Abdelhamid Bouchachia;Hermann Hellwagner
Affiliations:
Klagenfurt University, Klagenfurt, Austria;Klagenfurt University, Klagenfurt, Austria;Klagenfurt University, Klagenfurt, Austria
Venue:
Proceedings of the 21st international conference companion on World Wide Web
Year:
2012

Citing 9
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Abstract

Emergency management is about assessing critical situations, followed by decision making as a key step. Clearly, information is crucial in this two-step process. The technology of social (multi)media turns out to be an interesting source for collecting information about an emergency situation. In particular, situational information can be captured in form of pictures, videos, or text messages. The present paper investigates the application of multimedia metadata to identify the set of sub-events related to an emergency situation. The used metadata is compiled from Flickr and YouTube during an emergency situation, where the identification of the events relies on clustering. Initial results presented in this paper show how social media data can be used to detect different sub-events in a critical situation.