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dc.contributor.authorWen-Jiun Wang
dc.contributor.authorThomas W. Haase
dc.contributor.authorChia-Hsuan Yang
dc.date.accessioned2022-01-30T20:01:39Z
dc.date.available2022-01-30T20:01:39Z
dc.date.issued2020
dc.identifier.other%28ASCE%29NH.1527-6996.0000351.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266392
dc.description.abstractThis article presents an analysis of the risk warning messages sent via Twitter during Hurricane Irma, which struck Key West, Florida and the Florida mainland on September 10, 2017. The study analyzed 497 tweets sent by six emergency management organizations between September 1, 2017 and September 14, 2017, for the presence of five warning elements: hazard, guidance, location, time, and source. Using descriptive statistics and negative binomial regression models, this study confirmed that tweets can contain all five warning elements, and tweets that contain these elements have a positive effect on retweet counts, while controlling for message style, microstructures, account features, and time effect. In the context of Hurricane Irma, organizations managed to include all five warning elements in a tweet that contains a graphic image. The findings also indicate, however, that not all warning elements had a significant impact on retweet counts. Consequently, the five warning elements should be viewed as a guide that can help organizations design risk warning messages that reflect to their contextual needs.
dc.publisherASCE
dc.titleWarning Message Elements and Retweet Counts: An Analysis of Tweets Sent during Hurricane Irma
dc.typeJournal Paper
dc.journal.volume21
dc.journal.issue1
dc.journal.titleNatural Hazards Review
dc.identifier.doi10.1061/(ASCE)NH.1527-6996.0000351
dc.page04019014
dc.treeNatural Hazards Review:;2020:;Volume ( 021 ):;issue: 001
dc.contenttypeFulltext


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