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Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado

Background: This article describes a novel triangulation methodological approach for identifying twitter activity of regional active twitter users during the 2013 Hattiesburg EF-4 Tornado. Methodology: A data extraction and geographically centered filtration approach was utilized to generate Twitter...

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Detalles Bibliográficos
Autores principales: Cooper, Guy Paul, Yeager, Violet, Burkle, Frederick M., Subbarao, Italo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494723/
https://www.ncbi.nlm.nih.gov/pubmed/26203396
http://dx.doi.org/10.1371/currents.dis.f2e5b9e979af6174d2f97c1f0349be5c
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author Cooper, Guy Paul
Yeager, Violet
Burkle, Frederick M.
Subbarao, Italo
author_facet Cooper, Guy Paul
Yeager, Violet
Burkle, Frederick M.
Subbarao, Italo
author_sort Cooper, Guy Paul
collection PubMed
description Background: This article describes a novel triangulation methodological approach for identifying twitter activity of regional active twitter users during the 2013 Hattiesburg EF-4 Tornado. Methodology: A data extraction and geographically centered filtration approach was utilized to generate Twitter data for 48 hrs pre- and post-Tornado. The data was further validated using six sigma approach utilizing GPS data. Results: The regional analysis revealed a total of 81,441 tweets, 10,646 Twitter users, 27,309 retweets and 2637 tweets with GPS coordinates. Conclusions: Twitter tweet activity increased 5 fold during the response to the Hattiesburg Tornado.  Retweeting activity increased 2.2 fold. Tweets with a hashtag increased 1.4 fold. Twitter was an effective disaster risk reduction tool for the Hattiesburg EF-4 Tornado 2013. 
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spelling pubmed-44947232015-07-21 Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado Cooper, Guy Paul Yeager, Violet Burkle, Frederick M. Subbarao, Italo PLoS Curr Research Background: This article describes a novel triangulation methodological approach for identifying twitter activity of regional active twitter users during the 2013 Hattiesburg EF-4 Tornado. Methodology: A data extraction and geographically centered filtration approach was utilized to generate Twitter data for 48 hrs pre- and post-Tornado. The data was further validated using six sigma approach utilizing GPS data. Results: The regional analysis revealed a total of 81,441 tweets, 10,646 Twitter users, 27,309 retweets and 2637 tweets with GPS coordinates. Conclusions: Twitter tweet activity increased 5 fold during the response to the Hattiesburg Tornado.  Retweeting activity increased 2.2 fold. Tweets with a hashtag increased 1.4 fold. Twitter was an effective disaster risk reduction tool for the Hattiesburg EF-4 Tornado 2013.  Public Library of Science 2015-06-29 /pmc/articles/PMC4494723/ /pubmed/26203396 http://dx.doi.org/10.1371/currents.dis.f2e5b9e979af6174d2f97c1f0349be5c 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
Cooper, Guy Paul
Yeager, Violet
Burkle, Frederick M.
Subbarao, Italo
Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado
title Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado
title_full Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado
title_fullStr Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado
title_full_unstemmed Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado
title_short Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado
title_sort twitter as a potential disaster risk reduction tool. part ii: descriptive analysis of identified twitter activity during the 2013 hattiesburg f4 tornado
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494723/
https://www.ncbi.nlm.nih.gov/pubmed/26203396
http://dx.doi.org/10.1371/currents.dis.f2e5b9e979af6174d2f97c1f0349be5c
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