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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109126 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109126 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109126 109137 2 330463 document 109137 small.jpg image/png c1fbf373d51d4959b04a98b147bd1c21 MD5 1643 2025-03-11 16:09:27 https://pure.iiasa.ac.at/id/eprint/20443/6/small.jpg 20443 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109126 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109126 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109126 archive 353 disk0/00/02/04/43 2025-03-11 16:00:15 2025-03-11 16:00:15 2025-03-11 16:00:15 article show Veigel N. Kreibich H. de Bruijn J. 8884 0000-0003-3961-6382 Aerts J.C.J.H. Cominola A. pub BNR WAT Social media can provide insights into natural hazard events and people's emergency responses. In this study, we present a natural language processing analytic framework to extract and categorize information from 43 287 textual Twitter (X) posts in German since 2014. We implement bidirectional encoder representations from transformers in combination with unsupervised clustering techniques (BERTopic) to automatically extract social media content, addressing transferability issues that arise from commonly used bag-of-words representations. We analyze the temporal evolution of topic patterns, reflecting behaviors and perceptions of citizens before, during, and after flood events. Topics related to low-impact riverine flooding contain descriptive hazard-related content, while the focus shifts to catastrophic impacts and responsibilities during high-impact events. Our analytical framework enables the analysis of temporal dynamics of citizens’ behaviors and perceptions, which can facilitate lessons-learned analyses and improve risk communication and management. 2025-02-26 published Copernicus doi:10.5194/nhess-25-879-2025 3164 public Natural Hazards and Earth System Sciences 25 2 879-891 TRUE 1684-9981 info:eu-repo/semantics/article