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Social media usage patterns during natural hazards
Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and more to communicate before, during, and after disasters. Whil...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374021/ https://www.ncbi.nlm.nih.gov/pubmed/30759111 http://dx.doi.org/10.1371/journal.pone.0210484 |
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author | Niles, Meredith T. Emery, Benjamin F. Reagan, Andrew J. Dodds, Peter Sheridan Danforth, Christopher M. |
author_facet | Niles, Meredith T. Emery, Benjamin F. Reagan, Andrew J. Dodds, Peter Sheridan Danforth, Christopher M. |
author_sort | Niles, Meredith T. |
collection | PubMed |
description | Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and more to communicate before, during, and after disasters. While there is a growing body of research aimed at understanding how people use social media surrounding disaster events, most existing work has focused on a single disaster case study. In the present study, we analyze five of the costliest disasters in the last decade in the United States (Hurricanes Irene and Sandy, two sets of tornado outbreaks, and flooding in Louisiana) through the lens of Twitter. In particular, we explore the frequency of both generic and specific food-security related terms, and quantify the relationship between network size and Twitter activity during disasters. We find differences in tweet volume for keywords depending on disaster type, with people using Twitter more frequently in preparation for Hurricanes, and for real-time or recovery information for tornado and flooding events. Further, we find that people share a host of general disaster and specific preparation and recovery terms during these events. Finally, we find that among all account types, individuals with “average” sized networks are most likely to share information during these disasters, and in most cases, do so more frequently than normal. This suggests that around disasters, an ideal form of social contagion is being engaged in which average people rather than outsized influentials are key to communication. These results provide important context for the type of disaster information and target audiences that may be most useful for disaster communication during varying extreme events. |
format | Online Article Text |
id | pubmed-6374021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63740212019-03-01 Social media usage patterns during natural hazards Niles, Meredith T. Emery, Benjamin F. Reagan, Andrew J. Dodds, Peter Sheridan Danforth, Christopher M. PLoS One Research Article Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and more to communicate before, during, and after disasters. While there is a growing body of research aimed at understanding how people use social media surrounding disaster events, most existing work has focused on a single disaster case study. In the present study, we analyze five of the costliest disasters in the last decade in the United States (Hurricanes Irene and Sandy, two sets of tornado outbreaks, and flooding in Louisiana) through the lens of Twitter. In particular, we explore the frequency of both generic and specific food-security related terms, and quantify the relationship between network size and Twitter activity during disasters. We find differences in tweet volume for keywords depending on disaster type, with people using Twitter more frequently in preparation for Hurricanes, and for real-time or recovery information for tornado and flooding events. Further, we find that people share a host of general disaster and specific preparation and recovery terms during these events. Finally, we find that among all account types, individuals with “average” sized networks are most likely to share information during these disasters, and in most cases, do so more frequently than normal. This suggests that around disasters, an ideal form of social contagion is being engaged in which average people rather than outsized influentials are key to communication. These results provide important context for the type of disaster information and target audiences that may be most useful for disaster communication during varying extreme events. Public Library of Science 2019-02-13 /pmc/articles/PMC6374021/ /pubmed/30759111 http://dx.doi.org/10.1371/journal.pone.0210484 Text en © 2019 Niles et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Niles, Meredith T. Emery, Benjamin F. Reagan, Andrew J. Dodds, Peter Sheridan Danforth, Christopher M. Social media usage patterns during natural hazards |
title | Social media usage patterns during natural hazards |
title_full | Social media usage patterns during natural hazards |
title_fullStr | Social media usage patterns during natural hazards |
title_full_unstemmed | Social media usage patterns during natural hazards |
title_short | Social media usage patterns during natural hazards |
title_sort | social media usage patterns during natural hazards |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374021/ https://www.ncbi.nlm.nih.gov/pubmed/30759111 http://dx.doi.org/10.1371/journal.pone.0210484 |
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