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1-s2.0-S2212420924007428-main.pdf
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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/108127 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/108127 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/108127 archive 353 disk0/00/02/01/35 2024-11-19 15:01:51 2025-03-12 05:00:49 2024-11-19 15:01:51 article show Erokhin D. 9200 0000-0002-5191-0579 Komendantova N. 1880 0000-0003-2568-6179 Social media data for disaster risk management and research pub ASA CAT Social media analytics, Disaster management, Risk reduction strategies, Community engagement 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. 2024-11 published Elsevier doi:10.1016/j.ijdrr.2024.104980 3134 161 public International Journal of Disaster Risk Reduction 114 e104980 TRUE 2212-4209 sCience and human factOr for Resilient sociEty (CORE, H2020 101021746) yes info:eu-repo/grantAgreement/EC/H2020/101021746/EU//CORE info:eu-repo/semantics/article info:eu-repo/semantics/openAccess