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Rapid assessment of disaster damage using social media activity
Author(s) -
Yury Kryvasheyeu,
Haohui Chen,
Nick Obradovich,
Esteban Moro,
Pascal Van Hentenryck,
James H. Fowler,
Manuel Cebrián
Publication year - 2016
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.1500779
Subject(s) - social media , natural disaster , situation awareness , emergency management , warning system , metropolitan area , per capita , disaster response , computer science , business , computer security , geography , meteorology , political science , telecommunications , engineering , environmental health , population , archaeology , law , aerospace engineering , world wide web , medicine
Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and an increasing intensity of natural disasters resulting from climate change. During such events, citizens turn to social media platforms for disaster-related communication and information. Social media improves situational awareness, facilitates dissemination of emergency information, enables early warning systems, and helps coordinate relief efforts. In addition, the spatiotemporal distribution of disaster-related messages helps with the real-time monitoring and assessment of the disaster itself. We present a multiscale analysis of Twitter activity before, during, and after Hurricane Sandy. We examine the online response of 50 metropolitan areas of the United States and find a strong relationship between proximity to Sandy's path and hurricane-related social media activity. We show that real and perceived threats, together with physical disaster effects, are directly observable through the intensity and composition of Twitter's message stream. We demonstrate that per-capita Twitter activity strongly correlates with the per-capita economic damage inflicted by the hurricane. We verify our findings for a wide range of disasters and suggest that massive online social networks can be used for rapid assessment of damage caused by a large-scale disaster.Publicad

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