10.5281/zenodo.1149064
https://zenodo.org/records/1149064
oai:zenodo.org:1149064
Venturini, Luca
Luca
Venturini
Politecnico di Torino
Di corso, Evelina
Evelina
Di corso
Politecnico di Torino
Analyzing spatial data from Twitter during a disaster
Zenodo
2017
spatial data analysis
Twitter
disasters and mass emergencies
2017-12-11
eng
10.5281/zenodo.1149063
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
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
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.
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European Commission
10.13039/501100000780
700256
Improving Resilience to Emergencies through Advanced Cyber Technologies