Social media-based event detection for crisis management in the al za'atari refugee camp

نویسندگان

  • Maximilian Walther
  • Sven Schaust
  • Michael Kaisser
چکیده

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.

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تاریخ انتشار 2013