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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.

Cooper GP, Yeager V, Burkle FM, Subbarao I - PLoS Curr (2015)

Bottom Line: 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.

View Article: 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

"0" signifies the storm impact. "-50" is 50 hours pre-storm. "46" is 46 hours post-storm. This figure displays the usage of Retweets by regionally identified Mississippi & Alabama Twitter users.
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d36e631: "0" signifies the storm impact. "-50" is 50 hours pre-storm. "46" is 46 hours post-storm. This figure displays the usage of Retweets by regionally identified Mississippi & Alabama Twitter users.


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

Cooper GP, Yeager V, Burkle FM, Subbarao I - PLoS Curr (2015)

"0" signifies the storm impact. "-50" is 50 hours pre-storm. "46" is 46 hours post-storm. This figure displays the usage of Retweets by regionally identified Mississippi & Alabama Twitter users.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4494723&req=5

d36e631: "0" signifies the storm impact. "-50" is 50 hours pre-storm. "46" is 46 hours post-storm. This figure displays the usage of Retweets by regionally identified Mississippi & Alabama Twitter users.
Bottom Line: 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.

View Article: 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