Venturini, Luca
Di corso, Evelina
2017-12-11
<p>Social media can be an invaluable help in a mass emergency, but the information handling can be challenging. One major concern is identifying posts related to the area, or pinning them on a map. This exploratory study analyzes the<br>
spatial data coming with tweets during two natural disasters, an earthquake and a hurricane. Geo-tagged tweets confirm to be a small fraction of all tweets and disasters within a limited region appear to be a niche topic in the whole stream. The results can help researchers and practitioners in the design of tools to identify these messages.</p>
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https://doi.org/10.5281/zenodo.1149064
oai:zenodo.org:1149064
eng
Zenodo
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.1149063
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
DSEM, Data Science for Emergency Management, Co-located with IEEE BigData 2017, Boston, 11 December 2017
spatial data analysis
Twitter
disasters and mass emergencies
Analyzing spatial data from Twitter during a disaster
info:eu-repo/semantics/conferencePaper