Social media data for disaster risk management and research

Bibliographic Data

ID22029537
AuthorsDmitry Erokhin (0000-0002-5191-0579, International Institute for Applied Systems Analysis, corresponding author), Nadejda Komendantova (0000-0003-2568-6179, International Institute for Applied Systems Analysis)
Year2024
Volume114
Pages104980
Publication date2024-11-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2024.104980
OpenAlexW4404515129
LanguageEN
Citations received10
References cited48

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

Business · Data science · Emergency management · Media coverage · Media studies · Political science · Risk management · Social media · Sociology · World Wide Web · Computer Science · Data-Driven Disease Surveillance · Misinformation and Its Impacts · Public Relations and Crisis Communication · Finance

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Open DOIOpen Access