Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado.
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The regional analysis revealed a total of 81,441 tweets, 10,646 Twitter users, 27,309 retweets and 2637 tweets with GPS coordinates.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.
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PubMed Central - PubMed
Affiliation: College of Osteopathic Medicine, William Carey University, Hattiesburg, Mississippi, USA.
ABSTRACT
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. No MeSH data available. Related in: MedlinePlus |
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d36e135: Tweets were extracted and user region was determined through triangulation followed by GPS and quality assessment validation. |
View Article: PubMed Central - PubMed
Affiliation: College of Osteopathic Medicine, William Carey University, Hattiesburg, Mississippi, USA.
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.
No MeSH data available.