The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Real-Time Crisis Mapping of Natural Disasters Using Social Media
Abstract
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.
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Cites
Using Social Media to Enhance Emergency Situation Awareness
Yin, J., Lampert, A., Cameron, M., Robinson, B., & Power, R. (2012) · IEEE Intelligent Systems · doi:10.1109/mis.2012.6 · Cited by 652
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
Sakaki, T., Okazaki, M., & Matsuo, Y. (2013) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2012.29 · Cited by 502
Twitter earthquake detection: earthquake monitoring in a social world
Earle, P. S., Bowden, D. C., & Guy, M. (2012) · Annals of Geophysics · doi:10.4401/ag-5364 · Cited by 418
Twitter earthquake detection: earthquake monitoring in a social world
Earle, P. S., Bowden, D. C., & Guy, M. R. (2011) · Cited by 183
An algorithm for local geoparsing of microtext
Gelernter, J., & Balaji, S. (2013) · GeoInformatica · doi:10.1007/s10707-012-0173-8 · Cited by 153
New information technologies and their impact on the humanitarian sector
Meier, P. (2011) · International Review of the Red Cross · doi:10.1017/s1816383112000318 · Cited by 114
Spatial Computing and Social Media in the Context of Disaster Management
Adam, N. R., Shafiq, B., & Staffin, R. (2012) · IEEE Intelligent Systems · doi:10.1109/mis.2012.113 · Cited by 94
Named entity recognition for tweets
Liu, X., Wei, F., Zhang, S., & Zhou, M. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2414425.2414428 · Cited by 61
Cited by
Detection and Resolution of Rumours in Social Media: A Survey
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 862
Processing Social Media Messages in Mass Emergency: A Survey
Imran, M., Castillo, C., Diaz, F., & Vieweg, S. (2015) · ACM Computing Surveys · doi:10.1145/2771588 · Cited by 804
Ball, J. E., Anderson, D. T., & Chan, C. S. (2017) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.11.042609 · Cited by 746
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Big Data in Natural Disaster Management: A Review
Yu, M., Yang, C., & Li, Y. (2018) · Geosciences · doi:10.3390/geosciences8050165 · Cited by 447
Metadata
- Authors
- Middleton, S. E., Middleton, L., & Modafferi, S.
- Venue
- IEEE Intelligent Systems
- Published
- 2014-03
- Volume
- 29
- Issue
- 2
- Pages
- 9-17
- ISSN
- 1541-1672 (ISSN-L)
- 1941-1294
- OpenAlex
- W2026037750
- Cited by
- 425
- References
- 8
- FWCI
- 251.47
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
