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    Warning Message Elements and Retweet Counts: An Analysis of Tweets Sent during Hurricane Irma

    Source: Natural Hazards Review:;2020:;Volume ( 021 ):;issue: 001
    Author:
    Wen-Jiun Wang
    ,
    Thomas W. Haase
    ,
    Chia-Hsuan Yang
    DOI: 10.1061/(ASCE)NH.1527-6996.0000351
    Publisher: ASCE
    Abstract: This 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.
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      Warning Message Elements and Retweet Counts: An Analysis of Tweets Sent during Hurricane Irma

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4266392
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    contributor authorWen-Jiun Wang
    contributor authorThomas W. Haase
    contributor authorChia-Hsuan Yang
    date accessioned2022-01-30T20:01:39Z
    date available2022-01-30T20:01:39Z
    date issued2020
    identifier other%28ASCE%29NH.1527-6996.0000351.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266392
    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.
    publisherASCE
    titleWarning Message Elements and Retweet Counts: An Analysis of Tweets Sent during Hurricane Irma
    typeJournal Paper
    journal volume21
    journal issue1
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)NH.1527-6996.0000351
    page04019014
    treeNatural Hazards Review:;2020:;Volume ( 021 ):;issue: 001
    contenttypeFulltext
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