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Analytical reasoning reduces internet fraud susceptibility.

Authors :
Kelley, Nicholas J.
Hurley-Wallace, Anna L.
Warner, Katherine L.
Hanoch, Yaniv
Source :
Computers in Human Behavior. May2023, Vol. 142, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Fake websites extract an enormous financial and psychological toll on consumers across the globe, with some estimates reaching billions of dollars each year. Yet, there is a paucity of empirical data on why some consumers respond to fake websites while others remain immune. In nine studies (6 in the main text, 3 in Supplemental Materials) we tested the hypothesis that analytical reasoning promotes the ability to discriminate real from fake versions of popular consumer websites. We found evidence in support of this hypothesis in individual difference studies using both convenience (Supplemental Studies 1–2) and representative samples (Study 1) with expertise as a boundary condition of this effect (Study 2). We also found evidence for this hypothesis experimentally by inducing time pressure (Study 3) and priming participants to engage System 2 (analytic) versus System 1 (intuitive) processes (Study 4). This latter experimental effect was bounded by expertise (Study 5). Finally, we showed that the link between analytical reasoning and discriminability is mechanistically driven by memory recall (Study 6). Collectively, these studies provide convergent evidence that analytical reasoning may protect individuals from Internet fraud by helping them detect fraudulent websites. • Analytical reasoning promotes the ability to discriminate real from fake versions of popular Internet websites. • These effects emerged in correlational studies and experiments. • These effects did not emerge for participants with high levels of expertise. • These effects were mechanistically driven by memory recall. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07475632
Volume :
142
Database :
Academic Search Index
Journal :
Computers in Human Behavior
Publication Type :
Academic Journal
Accession number :
161729107
Full Text :
https://doi.org/10.1016/j.chb.2022.107648