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Rapid assessment of disaster damage using social media activity
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 infor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803483/ https://www.ncbi.nlm.nih.gov/pubmed/27034978 http://dx.doi.org/10.1126/sciadv.1500779 |
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author | Kryvasheyeu, Yury Chen, Haohui Obradovich, Nick Moro, Esteban Van Hentenryck, Pascal Fowler, James Cebrian, Manuel |
author_facet | Kryvasheyeu, Yury Chen, Haohui Obradovich, Nick Moro, Esteban Van Hentenryck, Pascal Fowler, James Cebrian, Manuel |
author_sort | Kryvasheyeu, Yury |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4803483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48034832016-03-31 Rapid assessment of disaster damage using social media activity Kryvasheyeu, Yury Chen, Haohui Obradovich, Nick Moro, Esteban Van Hentenryck, Pascal Fowler, James Cebrian, Manuel Sci Adv Research Articles 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. American Association for the Advancement of Science 2016-03-11 /pmc/articles/PMC4803483/ /pubmed/27034978 http://dx.doi.org/10.1126/sciadv.1500779 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Kryvasheyeu, Yury Chen, Haohui Obradovich, Nick Moro, Esteban Van Hentenryck, Pascal Fowler, James Cebrian, Manuel Rapid assessment of disaster damage using social media activity |
title | Rapid assessment of disaster damage using social media activity |
title_full | Rapid assessment of disaster damage using social media activity |
title_fullStr | Rapid assessment of disaster damage using social media activity |
title_full_unstemmed | Rapid assessment of disaster damage using social media activity |
title_short | Rapid assessment of disaster damage using social media activity |
title_sort | rapid assessment of disaster damage using social media activity |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803483/ https://www.ncbi.nlm.nih.gov/pubmed/27034978 http://dx.doi.org/10.1126/sciadv.1500779 |
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