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s11115-025-00815-2.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109060 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109060 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109060 archive 353 disk0/00/02/04/29 2025-03-04 08:37:38 2025-03-12 05:00:49 2025-03-04 08:37:38 article show Komendantova N. 1880 0000-0003-2568-6179 Erokhin D. 9200 0000-0002-5191-0579 pub ASA CAT Ensuring accurate information during natural disasters is vital for effective emergency response and public safety. Disasters like earthquakes and hurricanes often trigger misinformation, complicating response efforts and endangering lives. Historical events, such as Hurricane Katrina and the COVID-19 pandemic, illustrate the harmful impact of false information. Artificial intelligence (AI), with technologies like natural language processing and machine learning, offers promising solutions for detecting and mitigating misinformation. This paper explores AI’s role in managing misinformation during disasters, highlighting its potential to improve disaster response, enhance public trust, and strengthen community resilience. 2025-02-28 published Springer doi:10.1007/s11115-025-00815-2 161 3134 public Public Organization Review TRUE 1566-7170 sCience and human factOr for Resilient sociEty (CORE, H2020 101021746) A Gathering place to cO-design and co-cReate Adaptation (AGORA, HE 101093921) yes info:eu-repo/grantAgreement/EC/H2020/101021746/EU//CORE; info:eu-repo/grantAgreement/EC/HE/101093921/EU//AGORA info:eu-repo/semantics/article info:eu-repo/semantics/openAccess