Affiliation:
1. Arizona State University, USA
2. National Institute of Informatics, Japan
Abstract
The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the a ected people. This information is primarily provided by rst responders on-site and can be enhanced by the firsthand reports posted in real-time on social media. Many tools and methods have been developed to automate disaster relief by extracting, analyzing, and visualizing actionable information from social media. However, these methods are not well integrated in the relief and response processes and the relation between the two requires exposition for further advancement. In this survey, we review the new frontier of intelligent disaster relief and response using social media, show stages of disasters which are reflected on social media, establish a connection between proposed methods based on social media and relief efforts by rst responders, and outline pressing challenges and future research directions.
Publisher
Association for Computing Machinery (ACM)
Reference104 articles.
1. Disasters and emergencies: Definitions. http://apps.who.int/disasters/repo/7656.pdf 2002. accessed 09 Jan 2017. Disasters and emergencies: Definitions. http://apps.who.int/disasters/repo/7656.pdf 2002. accessed 09 Jan 2017.
2. Predicting the Future with Social Media
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