Articles | Volume 21, issue 5
Review article
06 May 2021
Review article |  | 06 May 2021

Opportunities and risks of disaster data from social media: a systematic review of incident information

Matti Wiegmann, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein

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Cited articles

Abel, F., Hauff, C., Houben, G., Stronkman, R., and Tao, K.: Twitcident: fighting fire with information from social web streams, in: Proceedings of the 21st international conference on world wide web, 16 April 2012, pp. 305–308, Lyon, France, 2012. a
ACDR: Asian Disaster Reduction Centre, GLobal IDEntifier Number, available at: (last access: 28 April 2021), 2019. a
Alam, F., Ofli, F., and Imran, M.: Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria, Behav. Inform. Technol., 39, 288–318,, 2020. a
Alexander, D. E.: Social Media in Disaster Risk Reduction and Crisis Management, Sci. Eng. Ethics, 20, 717–733,, 2014. a
Ashktorab, Z., Brown, C., Nandi, M., and Culotta, A.: Tweedr: Mining Twitter to Inform Disaster Response, in: 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, University Park, Pennsylvania, USA, 18–21 May 2014, 354–358, 2014. a
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.
Final-revised paper