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Computers & Security
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Risk as affect: The affect heuristic in cybersecurity

Authors: Paul van Schaik; Karen Renaud; Christopher Wilson; Jurjen Jansen; Joseph Onibokun;

Risk as affect: The affect heuristic in cybersecurity

Abstract

Risk perception is an important driver of netizens' (Internet users') cybersecurity behaviours, with a number of factors influencing its formation. It has been argued that the affect heuristic can be a source of variation in generic risk perception. However, a major shortcoming of the supporting research evidence for this assertion is that the central construct, affect, has not been measured or analysed. Moreover, its influence in the cybersecurity domain has not yet been tested. The contribution of the research reported in this paper is thus, firstly, to test the affect heuristic while measuring its three constructs: affect, perceived risk and perceived benefit and, secondly, to test its impact in the cybersecurity domain. By means of two carefully designed studies (N = 63 and N = 233), we provide evidence for the influence of the affect heuristic on risk perception in the cybersecurity domain. We conclude by identifying directions for future research into the role of affect and its impact on cybersecurity risk perception.

Keywords

QA75, 330, Social Sciences (General), Electronic computers. Computer science, H1

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
Green
bronze