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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...

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Detalles Bibliográficos
Autores principales: Harris Smith, Sara, Bennett, Kelly J., Livinski, Alicia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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.
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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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