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Maximilian Walther, Sven Schaust, & Michael Kaisser. (2013). Social media-based event detection for crisis management in the al za'atari refugee camp. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 927–928). KIT; Baden-Baden: Karlsruher Institut fur Technologie. Abstract: Social Media data allows for profound analyses of user-generated content in order to predict or manage disasters and crisis situations. In this paper, we present an analysis of tweets from and about Al Za'atari, a refugee camp in Jordan close to the Syrian border. Our results are based on the analysis of location-tagged tweets by our “Avalanche” system in order to support an accurate situational awareness picture for on-site and off-site operators from relief organizations on evolving events and challenges. Keywords: Hardware; Crisis management; Event detection; Refugee camps; Relief organizations; Situational awareness; Social media analytics; Social media datum; User-generated content; Information systems Track: Practitioners Track http://idl.iscram.org/show.php?record=1058

Abstract: Social Media data allows for profound analyses of user-generated content in order to predict or manage disasters and crisis situations. In this paper, we present an analysis of tweets from and about Al Za'atari, a refugee camp in Jordan close to the Syrian border. Our results are based on the analysis of location-tagged tweets by our “Avalanche” system in order to support an accurate situational awareness picture for on-site and off-site operators from relief organizations on evolving events and challenges.

Keywords: Hardware; Crisis management; Event detection; Refugee camps; Relief organizations; Situational awareness; Social media analytics; Social media datum; User-generated content; Information systems

Track: Practitioners Track

http://idl.iscram.org/show.php?record=1058