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Author | Maximilian Walther; Sven Schaust; Michael Kaisser | ||||
Title | Social media-based event detection for crisis management in the al za'atari refugee camp | Type | Conference Article | ||
Year | 2013 | Publication | ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2013 |
Volume | Issue | Pages | 927-928 | ||
Keywords | Hardware; Crisis management; Event detection; Refugee camps; Relief organizations; Situational awareness; Social media analytics; Social media datum; User-generated content; Information systems | ||||
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. | ||||
Address | AGT Group (R and D) GmbH, Germany | ||||
Corporate Author | Thesis | ||||
Publisher | Karlsruher Institut fur Technologie | Place of Publication | KIT; Baden-Baden | Editor | T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9783923704804 | Medium | |
Track | Practitioners Track | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 1058 | |||
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