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Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy
Background: Twitter has emerged as a critical source of free and openly available information during emergency response operations, providing an unmatched level of on-the-ground situational awareness in real-time. Responders and survivors turn to Twitter to share information and resources within com...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205228/ https://www.ncbi.nlm.nih.gov/pubmed/25642372 http://dx.doi.org/10.1371/currents.dis.de9415573fbf90ee2c585cd0b2314547 |
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author | Harris Smith, Sara Bennett, Kelly J. Livinski, Alicia A. |
author_facet | Harris Smith, Sara Bennett, Kelly J. Livinski, Alicia A. |
author_sort | Harris Smith, Sara |
collection | PubMed |
description | Background: Twitter has emerged as a critical source of free and openly available information during emergency response operations, providing an unmatched level of on-the-ground situational awareness in real-time. Responders and survivors turn to Twitter to share information and resources within communities, conduct rumor control, and provide a “boots on the ground” understanding of the disaster. However, the ability to tune out background “noise” is essential to effectively utilizing Twitter to identify important and useful information during an emergency response. Methods: This article highlights a two-prong strategy in which the use of a Twitter list paired with subject specific Boolean searches provided increased situational awareness and early event detection during the United States Department of Health and Human Services (HHS), Office of the Assistant Secretary for Preparedness and Response (ASPR) response to Superstorm Sandy in 2012. To maximize the amount of relevant information that was retrieved, the Twitter list and Boolean searches were dynamic and responsive to real-time developments, evolving health threats, and the informational needs of decision-makers. Conclusion: The use of a Twitter list combined with Boolean searches led to enhanced situational awareness throughout the HHS response. The incorporation of a dynamic search strategy over the course of the HHS Sandy response, allowed for the ability to account for over-tweeted information, changes in event related conversation, and decreases in the return of relevant information. |
format | Online Article Text |
id | pubmed-4205228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42052282015-01-29 Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy Harris Smith, Sara Bennett, Kelly J. Livinski, Alicia A. PLoS Curr Research Article Background: Twitter has emerged as a critical source of free and openly available information during emergency response operations, providing an unmatched level of on-the-ground situational awareness in real-time. Responders and survivors turn to Twitter to share information and resources within communities, conduct rumor control, and provide a “boots on the ground” understanding of the disaster. However, the ability to tune out background “noise” is essential to effectively utilizing Twitter to identify important and useful information during an emergency response. Methods: This article highlights a two-prong strategy in which the use of a Twitter list paired with subject specific Boolean searches provided increased situational awareness and early event detection during the United States Department of Health and Human Services (HHS), Office of the Assistant Secretary for Preparedness and Response (ASPR) response to Superstorm Sandy in 2012. To maximize the amount of relevant information that was retrieved, the Twitter list and Boolean searches were dynamic and responsive to real-time developments, evolving health threats, and the informational needs of decision-makers. Conclusion: The use of a Twitter list combined with Boolean searches led to enhanced situational awareness throughout the HHS response. The incorporation of a dynamic search strategy over the course of the HHS Sandy response, allowed for the ability to account for over-tweeted information, changes in event related conversation, and decreases in the return of relevant information. Public Library of Science 2014-09-26 /pmc/articles/PMC4205228/ /pubmed/25642372 http://dx.doi.org/10.1371/currents.dis.de9415573fbf90ee2c585cd0b2314547 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Harris Smith, Sara Bennett, Kelly J. Livinski, Alicia A. Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy |
title | Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy |
title_full | Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy |
title_fullStr | Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy |
title_full_unstemmed | Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy |
title_short | Evolution of a Search: The Use of Dynamic Twitter Searches During Superstorm Sandy |
title_sort | evolution of a search: the use of dynamic twitter searches during superstorm sandy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205228/ https://www.ncbi.nlm.nih.gov/pubmed/25642372 http://dx.doi.org/10.1371/currents.dis.de9415573fbf90ee2c585cd0b2314547 |
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