Don’T Sleep On It: An Examination Of Storm Naming And Potential Heuristic Effects On Twitter
Abstract
Humans 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.
Publication Date
10-1-2018
Publication Title
Weather, Climate, and Society
Volume
10
Issue
4
Number of Pages
769-779
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1175/WCAS-D-18-0008.1
Copyright Status
Unknown
Socpus ID
85054745189 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85054745189
STARS Citation
Lin, Xialing; Rainear, Adam M.; Spence, Patric R.; and Lachlan, Kenneth A., "Don’T Sleep On It: An Examination Of Storm Naming And Potential Heuristic Effects On Twitter" (2018). Scopus Export 2015-2019. 10308.
https://stars.library.ucf.edu/scopus2015/10308