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
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;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2011.52
