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Real-time crisis mapping of natural disasters using social media

Real-time crisis mapping of natural disasters using social media
Real-time crisis mapping of natural disasters using social media
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.
1541-1672
9-17
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Modafferi, Stefano
2f15a6fa-a4c3-4f43-998f-df7d88f08a78
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Modafferi, Stefano
2f15a6fa-a4c3-4f43-998f-df7d88f08a78

Middleton, Stuart, Middleton, Lee and Modafferi, Stefano (2014) Real-time crisis mapping of natural disasters using social media. IEEE Intelligent Systems, 29 (2), 9-17. (doi:10.1109/MIS.2013.126).

Record type: Article

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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More information

Accepted/In Press date: 23 December 2013
e-pub ahead of print date: 1 January 2014
Published date: 1 June 2014
Organisations: IT Innovation

Identifiers

Local EPrints ID: 370581
URI: http://eprints.soton.ac.uk/id/eprint/370581
DOI: doi:10.1109/MIS.2013.126
ISSN: 1541-1672
PURE UUID: 80967588-dc50-4259-ac1b-473ab922b40d
ORCID for Stuart Middleton: ORCID iD orcid.org/0000-0001-8305-8176
ORCID for Stefano Modafferi: ORCID iD orcid.org/0000-0003-0428-3194

Catalogue record

Date deposited: 03 Nov 2014 11:42
Last modified: 15 Mar 2024 03:42

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Contributors

Author: Stuart Middleton ORCID iD
Author: Lee Middleton
Author: Stefano Modafferi ORCID iD

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