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Introduction: Enhancing Capacity to Manage Disasters Read chapter Read first chapter

2020 | OriginalPaper | Chapter

5. Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview

Authors : Ferda Ofli, Muhammad Imran, Firoj Alam

Published in: AI and Robotics in Disaster Studies

Publisher: Springer Nature Singapore

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Abstract

The ever-increasing popularity of social media platforms has transformed the way in which information is shared during disasters and mass emergencies. Information that emanates from social media, especially in the early hours of a disaster when little-to-no information is available from other traditional sources, can be extremely valuable for emergency responders and decision makers to gain situational awareness and plan relief efforts. To capitalize on this potential, extensive research and development activities have been conducted over the last decade to build technologies to support various humanitarian aid tasks. In this paper, we provide an overview of the literature on using artificial intelligence and social media for disaster response and management from three perspectives: datasets, research studies, and systems. Then, we present further discussion on open research problems and future directions in the crisis informatics domain.

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previous chapter Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments
next chapter ‘Internet of Things’ Applications in Disaster Management
Footnotes
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Metadata
Title
Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview
Authors
Ferda Ofli
Muhammad Imran
Firoj Alam
Copyright Year
2020
Publisher
Springer Nature Singapore
Book
AI and Robotics in Disaster Studies

Print ISBN: 978-981-15-4290-9

Electronic ISBN: 978-981-15-4291-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-4291-6_5