YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Weather, Climate, and Society
    • View Item
    •   YE&T Library
    • AMS
    • Weather, Climate, and Society
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Don’t Sleep on It: An Examination of Storm Naming and Potential Heuristic Effects on Twitter

    Source: Weather, Climate, and Society:;2018:;volume 010:;issue 004::page 769
    Author:
    Lin, Xialing
    ,
    Rainear, Adam M.
    ,
    Spence, Patric R.
    ,
    Lachlan, Kenneth A.
    DOI: 10.1175/WCAS-D-18-0008.1
    Publisher: American Meteorological Society
    Abstract: AbstractHumans often prefer representations that are cognitively easier to store, and these representations are easier to retrieve later to make judgments about events. Exemplification theory draws on evolutionary logic and argues that simple, iconic, concrete, and emotionally arousing depictions of events (exemplars) are favored and thus more likely to be stored and used than are abstract, inconsequential depictions or representations. This study examined exemplified aspects of storm warnings in a Twitter feed. A three-condition study was completed, and variables examined included storm severity, susceptibility, hazard, outrage, and willingness to change or engage in specific behaviors. Results suggest the possibility of a sleeper effect impacting perceptions of severity. Results are discussed in theoretical and practical applications along with the consideration of other theories to be applied to future research.
    • Download: (1.550Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Statistics

      Don’t Sleep on It: An Examination of Storm Naming and Potential Heuristic Effects on Twitter

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4261503
    Collections
    • Weather, Climate, and Society

    Show full item record

    contributor authorLin, Xialing
    contributor authorRainear, Adam M.
    contributor authorSpence, Patric R.
    contributor authorLachlan, Kenneth A.
    date accessioned2019-09-19T10:05:54Z
    date available2019-09-19T10:05:54Z
    date copyright8/28/2018 12:00:00 AM
    date issued2018
    identifier otherwcas-d-18-0008.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261503
    description abstractAbstractHumans often prefer representations that are cognitively easier to store, and these representations are easier to retrieve later to make judgments about events. Exemplification theory draws on evolutionary logic and argues that simple, iconic, concrete, and emotionally arousing depictions of events (exemplars) are favored and thus more likely to be stored and used than are abstract, inconsequential depictions or representations. This study examined exemplified aspects of storm warnings in a Twitter feed. A three-condition study was completed, and variables examined included storm severity, susceptibility, hazard, outrage, and willingness to change or engage in specific behaviors. Results suggest the possibility of a sleeper effect impacting perceptions of severity. Results are discussed in theoretical and practical applications along with the consideration of other theories to be applied to future research.
    publisherAmerican Meteorological Society
    titleDon’t Sleep on It: An Examination of Storm Naming and Potential Heuristic Effects on Twitter
    typeJournal Paper
    journal volume10
    journal issue4
    journal titleWeather, Climate, and Society
    identifier doi10.1175/WCAS-D-18-0008.1
    journal fristpage769
    journal lastpage779
    treeWeather, Climate, and Society:;2018:;volume 010:;issue 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian