Articles | Volume 25, issue 2
https://doi.org/10.5194/nhess-25-879-2025
https://doi.org/10.5194/nhess-25-879-2025
Research article
 | 
26 Feb 2025
Research article |  | 26 Feb 2025

Content analysis of multi-annual time series of flood-related Twitter (X) data

Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola

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Cited articles

Allaoui, M., Kherfi, M. L., and Cheriet, A.: Considerably improving clustering algorithms using UMAP dimensionality reduction technique: A comparative study, International conference on image and signal processing, 317–325 pp., https://doi.org/10.48550/arXiv.1810.04805, 2020. a
Anhalt, M., Bindick, S., and Meyer, S.: Das Juli-Hochwasser 2017 im südlichen Niedersachsen, Niedersächsischer Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz, https://www.nlwkn.niedersachsen.de/download/124949 (last access: 21 February 2025), 2017. a, b, c
Aubert, A. H., Tavenard, R., Emonet, R., de Lavenne, A., Malinowski, S., Guyet, T., Quiniou, R., Odobez, J.-M., Merot, P., and Gascuel-Odoux, C.: Clustering flood events from water quality time series using Latent Dirichlet Allocation model, Water Resour. Res., 49, 8187–8199, https://doi.org/10.1002/2013wr014086, 2013. a
Baldassarre, G. D., Viglione, A., Carr, G., Kuil, L., Yan, K., Brandimarte, L., and Blöschl, G.: Debates-Perspectives on socio-hydrology: Capturing feedbacks between physical and social processes, Water Resour. Res., 51, 4770–4781, https://doi.org/10.1002/2014wr016416, 2015. a
Barker, J. and Macleod, C.: Development of a national-scale real-time Twitter data mining pipeline for social geodata on the potential impacts of flooding on communities, Environ. Modell. Softw., 115, 213–227, https://doi.org/10.1016/j.envsoft.2018.11.013, 2019. a, b
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Short summary
This study explores how social media, specifically Twitter (X), can help us understand public reactions to floods in Germany from 2014 to 2021. Using large language models, we extract topics and patterns of behavior from flood-related tweets. The findings offer insights to improve communication and disaster management. Topics related to low-impact flooding contain descriptive hazard-related content, while the focus shifts to catastrophic impacts and responsibilities during high-impact events.
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