Comparative optimism for judgements about online identity theft

Individuals believe that negative events are less likely to happen to them than others – termed optimistic bias. The research aimed to explore developmental differences in comparative optimism for online identity theft (Study 1) and the impact of previous experiences of identity theft and representativeness of comparator groups for such judgements (Study 2). Study 1 included 101 late adolescents, 226 emerging adults, and 147 adults. Study 2 included 313 university students. In both studies, participants provided judgements about the likelihood of experiencing online identity theft and in Study 2 experiences of identity theft, fear of identity theft, and representativeness. Both studies provided evidence of optimistic bias; participants reported that they were less at risk of experiencing online identity theft than others. There was no effect of age (Study 1), and judgements were not accounted for by the targets' representativeness of the comparator groups (Study 2). Fear of identity theft mediated the relationship between previous experiences of identity theft and perceptions of risk for the self (Study 2). The findings contribute to our understanding of how online risks are perceived and have implications for online safety messages.

Authors

Institutions

Publication Details

Journal
Behaviour and Information Technology
Published
2024-12-23
DOI
https://doi.org/10.1080/0144929x.2024.2443799
Primary Topic
Cybercrime and Law Enforcement Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative optimism for judgements about online identity theft

Peter J. R. Macaulay, Lucy R. Betts, Sondos H. Metwally, Thom Baguley et al.
Behaviour and Information Technology
Cybercrime and Law Enforcement Studies
article

Comparative optimism for judgements about online identity theft

Peter J. R. Macaulay, Lucy R. Betts, Sondos H. Metwally, Thom Baguley, Sarah E. Gardner
article en

Abstract

Individuals believe that negative events are less likely to happen to them than others – termed optimistic bias. The research aimed to explore developmental differences in comparative optimism for online identity theft (Study 1) and the impact of previous experiences of identity theft and representativeness of comparator groups for such judgements (Study 2). Study 1 included 101 late adolescents, 226 emerging adults, and 147 adults. Study 2 included 313 university students. In both studies, participants provided judgements about the likelihood of experiencing online identity theft and in Study 2 experiences of identity theft, fear of identity theft, and representativeness. Both studies provided evidence of optimistic bias; participants reported that they were less at risk of experiencing online identity theft than others. There was no effect of age (Study 1), and judgements were not accounted for by the targets' representativeness of the comparator groups (Study 2). Fear of identity theft mediated the relationship between previous experiences of identity theft and perceptions of risk for the self (Study 2). The findings contribute to our understanding of how online risks are perceived and have implications for online safety messages.

Behaviour and Information TechnologyVol. 44(15)
University of Derby (GB), Nottingham Trent University (GB)
Nottingham Trent University
Reduced inequalities
Openalex Percentile: Top 62%
Cybercrime and Law Enforcement Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparative optimism for judgements about online identity theft — Peter J. R. Macaulay, Lucy R. Betts, et al. · Behaviour and Information Technology (2024) | TGRS Research Map | TGRS