research-article

Intelligent Disaster Response via Social Media Analysis A Survey

Authors:

Tahora H. Nazer,

Huan LiuAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 19, Issue 1

Pages 46 - 59

https://doi.org/10.1145/3137597.3137602

Published: 01 September 2017 Publication History

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.

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Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 19, Issue 1

June 2017

59 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/3137597

Editors:
Charu Aggarwal
IBM T.J. Watson
,
Haixun Wang
Google
,
Ankur Teredesai
University of Washington Tacoma
,
Hanghang Tong
Arizona State University

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Copyright © 2017 Authors.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 September 2017

Published in SIGKDD Volume 19, Issue 1

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