arXiv Open Access 2022

TriggerCit: Early Flood Alerting using Twitter and Geolocation -- a comparison with alternative sources

Carlo Bono Barbara Pernici Jose Luis Fernandez-Marquez Amudha Ravi Shankar Mehmet Oğuz Mülâyim +1 lainnya
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Abstrak

Rapid impact assessment in the immediate aftermath of a natural disaster is essential to provide adequate information to international organisations, local authorities, and first responders. Social media can support emergency response with evidence-based content posted by citizens and organisations during ongoing events. In the paper, we propose TriggerCit: an early flood alerting tool with a multilanguage approach focused on timeliness and geolocation. The paper focuses on assessing the reliability of the approach as a triggering system, comparing it with alternative sources for alerts, and evaluating the quality and amount of complementary information gathered. Geolocated visual evidence extracted from Twitter by TriggerCit was analysed in two case studies on floods in Thailand and Nepal in 2021.

Topik & Kata Kunci

Penulis (6)

C

Carlo Bono

B

Barbara Pernici

J

Jose Luis Fernandez-Marquez

A

Amudha Ravi Shankar

M

Mehmet Oğuz Mülâyim

E

Edoardo Nemni

Format Sitasi

Bono, C., Pernici, B., Fernandez-Marquez, J.L., Shankar, A.R., Mülâyim, M.O., Nemni, E. (2022). TriggerCit: Early Flood Alerting using Twitter and Geolocation -- a comparison with alternative sources. https://arxiv.org/abs/2202.12014

Akses Cepat

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Tahun Terbit
2022
Bahasa
en
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arXiv
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Open Access ✓