| contributor author | Lin, Xialing | |
| contributor author | Rainear, Adam M. | |
| contributor author | Spence, Patric R. | |
| contributor author | Lachlan, Kenneth A. | |
| date accessioned | 2019-09-19T10:05:54Z | |
| date available | 2019-09-19T10:05:54Z | |
| date copyright | 8/28/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier other | wcas-d-18-0008.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261503 | |
| description 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. | |
| publisher | American Meteorological Society | |
| title | Don’t Sleep on It: An Examination of Storm Naming and Potential Heuristic Effects on Twitter | |
| type | Journal Paper | |
| journal volume | 10 | |
| journal issue | 4 | |
| journal title | Weather, Climate, and Society | |
| identifier doi | 10.1175/WCAS-D-18-0008.1 | |
| journal fristpage | 769 | |
| journal lastpage | 779 | |
| tree | Weather, Climate, and Society:;2018:;volume 010:;issue 004 | |
| contenttype | Fulltext | |