Erokhin, D. & Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179 (2024). Social media data for disaster risk management and research. International Journal of Disaster Risk Reduction 114 e104980. 10.1016/j.ijdrr.2024.104980.
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Abstract
The rise of social media has revolutionized disaster risk reduction (DRR) by offering real-time, large-scale data collection and fostering dynamic community engagement. This study explores the potential of social media analytics as a vital resource in understanding population responses during disasters. By harnessing social media data, researchers and policymakers can gain insights into public sentiment, immediate needs, and reactions to risk reduction measures. The study presents case studies on major disasters, including earthquakes and pandemics, demonstrating the efficacy and challenges of social media as a tool for DRR. Despite its advantages, such as immediacy and broad reach, the study addresses significant concerns like data accuracy, privacy, and misinformation. Drawing from the Horizon Europe initiatives, this research offers a comprehensive analysis of how social media can enhance disaster preparedness and response, while proposing future avenues for optimizing the integration of social media data in DRR strategies.
Item Type: | Article |
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Uncontrolled Keywords: | Social media analytics, Disaster management, Risk reduction strategies, Community engagement |
Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT) |
Depositing User: | Luke Kirwan |
Date Deposited: | 19 Nov 2024 15:01 |
Last Modified: | 19 Nov 2024 15:01 |
URI: | https://pure.iiasa.ac.at/20135 |
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