Title
Insights into the reception and acceptance of risk messages : nuclear emergency communication
Author
Faculty/Department
Faculty of Social Sciences. Political Sciences
Publication type
article
Publication
London ,
Subject
Sociology
Mass communications
Source (journal)
Journal of risk research. - London
Volume/pages
17(2014) :9 , p. 1207-1232
ISSN
1366-9877
ISI
000343609700007
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The objective of this paper is to test whether the effect of variables such as knowledge, attitudes, trust, risk perception, and psychometric risk characteristics changes in the different stages of risk-related information processing. To address this question, a distinction is made between two information-processing steps, reception (measured as a persons ability to retain the information communicated) and acceptance (measured as a persons level of agreement with the communicated information). An empirical study was conducted, using a radiological accident (2008) in Belgium as a communication case study. Face-to-face interviews were conducted on a large sample of Belgian population representative with respect to province, region, level of urbanization, gender, age, and professionally active status (N = 1031) and among the population living in vicinity of the accident (N = 104). All factors were measured on reliable scales (Cronbachs α > .75). The receptionacceptance model was used to produce new insights into risk communication. The results demonstrate that knowledge was the driving factor only for the reception of risk messages, while heuristic predictors such as psychometric risk characteristics, attitudes, and trust were most influential for the acceptance of risk messages. It is discussed how the results will facilitate a more thorough understanding of information processing and how they could be used to design more focused risk communication strategies
E-info
https://repository.uantwerpen.be/docman/iruaauth/43ed98/dd28793.pdf
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