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    • ‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators 

      Ramakrishnan, Naren; Butler, Patrick; Self, Nathan; Khandpur, Rupinder; Saraf, Parang; Wang, Wei; Cadena, Jose; Vullikanti, Anil; Korkmaz, Gizem; Kuhlman, Chris; Marathe, Achla; Zhao, Liang; Ting, Hua; Huang, Bert; Srinivasan, Aravind; Trinh, Khoa; Getoor, Lise; Katz, Graham; Doyle, Andy; Ackermann, Chris; Zavorin, Ilya; Ford, Jim; Summers, Kristen; Fayed, Youssef; Arredondo, Jaime; Gupta, Dipak; Mares, David; Muthia, Sathappan; Chen, Feng; Lu, Chang-Tien (2014)
      We describe the design, implementation, and evaluation of EMBERS, an automated, 24x7 continuous system for forecasting civil unrest across 10 countries of Latin America using open source indicators such as tweets, news ...