Real-Time Crisis Mapping of Natural Disasters Using Social Media

By Stuart E. Middleton, Lee Middleton, Stefano Modafferi. IEEE Intelligent Systems, 2014

374 citations recorded by the source corpus.

The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams. The authors use statistical analysis to generate real-time crisis maps. Geoparsing results are benchmarked against existing published work and evaluated across multilingual datasets. Two case studies compare five-day tweet crisis maps to official post-event impact assessment from the US National Geospatial Agency (NGA), compiled from verified satellite and aerial imagery sources.

Subfields: Communication, Geography, Planning and Development, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/897f3c63a441d80037674541a0441a57fe710157

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1. Yun Li
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Citations in the corpus

• Big Data in Natural Disaster Management: A Review (2018, background): “A number of authors have shown that real time analytics based on social media data provide good opportunities to detect and monitor events automatically [77,78].”