• DocumentCode
    1249127
  • Title

    Harnessing the Crowdsourcing Power of Social Media for Disaster Relief

  • Author

    Gao, Huiji ; Barbier, Geoffrey ; Goolsby, Rebecca

  • Author_Institution
    Data Min. & Machine Learning (DMML) Lab., Arizona State Univ., Phoenix, AZ, USA
  • Volume
    26
  • Issue
    3
  • fYear
    2011
  • Firstpage
    10
  • Lastpage
    14
  • Abstract
    This article briefly describes the advantages and disadvantages of crowdsourcing applications applied to disaster relief coordination. It also discusses several challenges that must be addressed to make crowdsourcing a useful tool that can effectively facilitate the relief progress in coordination, accuracy, and security.
  • Keywords
    disasters; emergency services; outsourcing; social networking (online); crowdsourcing power; disaster relief coordination; relief progress; social media; Disasters; Earthquakes; Emergency services; Information services; Media; Social network services; coordination; crisis map; crowdsourcing; disaster relief; intelligent systems; relief organization;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2011.52
  • Filename
    5898447