Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1431-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-21-1431-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Opportunities and risks of disaster data from social media: a systematic review of incident information
Matti Wiegmann
CORRESPONDING AUTHOR
Bauhaus-Universität Weimar, Web Technology and Information Systems Group, Weimar, Germany
German Aerospace Center (DLR), Institute of Data Science, Jena, Germany
Jens Kersten
German Aerospace Center (DLR), Institute of Data Science, Jena, Germany
Hansi Senaratne
German Aerospace Center (DLR), German Remote Sensing Data Center, Oberpfaffenhofen, Germany
Martin Potthast
Leipzig University, Text Mining and Retrieval Group, Leipzig, Germany
Friederike Klan
German Aerospace Center (DLR), Institute of Data Science, Jena, Germany
Benno Stein
Bauhaus-Universität Weimar, Web Technology and Information Systems Group, Weimar, Germany
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Cited
13 citations as recorded by crossref.
- A Citizen Science Approach for Analyzing Social Media With Crowdsourcing C. Bono et al. 10.1109/ACCESS.2023.3243791
- Review article: Detection of actionable tweets in crisis events A. Kruspe et al. 10.5194/nhess-21-1825-2021
- Towards a study of everyday geographic information: Bringing the everyday into view S. De Sabbata et al. 10.1177/23998083231217606
- AFAD Akreditasyon Sistemi’ne Başvuru Yapan Bir Kuruluşta Kentsel Arama Kurtarma Ekibi için Personel Seçimi T. Danışan & T. Eren 10.2339/politeknik.1096440
- What to do if there’s a nuclear attack? A quality and readability analysis of websites Y. Solak et al. 10.1007/s10389-024-02359-z
- Insurance as an Alternative for Sustainable Economic Recovery after Natural Disasters: A Systematic Literature Review . Kalfin et al. 10.3390/su14074349
- “Generalization of convolutional network to domain adaptation network for classification of disaster images on twitter” A. Khattar & S. Quadri 10.1007/s11042-022-12869-1
- Pathways to Socially Sustainable Adaptation: Real-Time and Context-Specific Vulnerability Assessment in South Carolina after Hurricane Dorian M. Batouli & D. Joshi 10.1061/JCEMD4.COENG-13722
- The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models M. Drews et al. 10.1016/j.scitotenv.2023.164962
- The movement pattern changes of population following a disaster: Example of the Aegean Sea earthquake of October 2020 C. Varol et al. 10.1016/j.ijdrr.2024.104743
- #RecoverSouthCoast: how Twitter can support and hinder recovery R. Ogie et al. 10.47389/37.4.104
- Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter P. Bruneau et al. 10.3390/rs13061153
- Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis M. McKitrick et al. 10.1007/s10708-022-10584-w
11 citations as recorded by crossref.
- A Citizen Science Approach for Analyzing Social Media With Crowdsourcing C. Bono et al. 10.1109/ACCESS.2023.3243791
- Review article: Detection of actionable tweets in crisis events A. Kruspe et al. 10.5194/nhess-21-1825-2021
- Towards a study of everyday geographic information: Bringing the everyday into view S. De Sabbata et al. 10.1177/23998083231217606
- AFAD Akreditasyon Sistemi’ne Başvuru Yapan Bir Kuruluşta Kentsel Arama Kurtarma Ekibi için Personel Seçimi T. Danışan & T. Eren 10.2339/politeknik.1096440
- What to do if there’s a nuclear attack? A quality and readability analysis of websites Y. Solak et al. 10.1007/s10389-024-02359-z
- Insurance as an Alternative for Sustainable Economic Recovery after Natural Disasters: A Systematic Literature Review . Kalfin et al. 10.3390/su14074349
- “Generalization of convolutional network to domain adaptation network for classification of disaster images on twitter” A. Khattar & S. Quadri 10.1007/s11042-022-12869-1
- Pathways to Socially Sustainable Adaptation: Real-Time and Context-Specific Vulnerability Assessment in South Carolina after Hurricane Dorian M. Batouli & D. Joshi 10.1061/JCEMD4.COENG-13722
- The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models M. Drews et al. 10.1016/j.scitotenv.2023.164962
- The movement pattern changes of population following a disaster: Example of the Aegean Sea earthquake of October 2020 C. Varol et al. 10.1016/j.ijdrr.2024.104743
- #RecoverSouthCoast: how Twitter can support and hinder recovery R. Ogie et al. 10.47389/37.4.104
2 citations as recorded by crossref.
- Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter P. Bruneau et al. 10.3390/rs13061153
- Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis M. McKitrick et al. 10.1007/s10708-022-10584-w
Latest update: 18 Jan 2025
Short summary
In this paper, we study when social media is an adequate source to find metadata about incidents that cannot be acquired by traditional means. We identify six major use cases: impact assessment and verification of model predictions, narrative generation, recruiting citizen volunteers, supporting weakly institutionalized areas, narrowing surveillance areas, and reporting triggers for periodical surveillance.
In this paper, we study when social media is an adequate source to find metadata about incidents...
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