research-article

Harnessing the Crowdsourcing Power of Social Media for Disaster Relief

Authors:

Huiji Gao,

Geoffrey Barbier,

Rebecca GoolsbyAuthors Info & Claims

IEEE Intelligent Systems, Volume 26, Issue 3

Pages 10 - 14

https://doi.org/10.1109/MIS.2011.52

Published: 01 May 2011 Publication History

Abstract

Social media sites have proven useful in disaster relief for information propagation and communication. Crowdsourcing applications based on social media applications such as Twitter and Ushahidi provide a powerful capability for collecting information from disaster scenes and visualizing data for relief decision making. This article briefly describes the advantages and disadvantages of crowdsourcing applications applied to disaster relief coordination. It also discusses several challenges that need to be addressed to make crowdsourcing a useful tool that can effectively facilitate the relief progress in coordination, accuracy, and security.

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Chowdhury MDatta SSharma NKhudaBukhsh AChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster ResponseProceedings of the ACM Web Conference 202410.1145/3589334.3648153(4664-4673)Online publication date: 13-May-2024
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Peng JZhang J(2024)Spatiotemporal assessment of urban flooding hazard using social mediaEnvironmental Modelling & Software10.1016/j.envsoft.2024.106021176:COnline publication date: 9-Jul-2024
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Comes T(2024)AI for crisis decisionsEthics and Information Technology10.1007/s10676-024-09750-026:1Online publication date: 14-Feb-2024
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Published In

IEEE Intelligent Systems Volume 26, Issue 3

May 2011

87 pages

ISSN:1541-1672

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IEEE Educational Activities Department

United States

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Published: 01 May 2011

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Chowdhury MDatta SSharma NKhudaBukhsh AChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster ResponseProceedings of the ACM Web Conference 202410.1145/3589334.3648153(4664-4673)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3648153
Peng JZhang J(2024)Spatiotemporal assessment of urban flooding hazard using social mediaEnvironmental Modelling & Software10.1016/j.envsoft.2024.106021176:COnline publication date: 9-Jul-2024
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Qiu SJi YZhu ZZhao YJu RWang X(2024)Web Crowdsourcing for�Coastal Flood Prevention and�ManagementWeb Engineering10.1007/978-3-031-62362-2_35(410-413)Online publication date: 17-Jun-2024
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Bryan-Smith LGodsall JGeorge FEgode KDethlefs NParsons D(2023)Real-time social media sentiment analysis for rapid impact assessment of floodsComputers & Geosciences10.1016/j.cageo.2023.105405178:COnline publication date: 1-Sep-2023
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Promoting coordination for disaster relief: from crowdsourcing to coordination

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Utilizing Online Social Media for Disaster Relief: Practical Challenges in Retrieval

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