TY - JOUR
T1 - In their own words
T2 - deception detection by victims and near victims of fraud
AU - Junger, Marianne
AU - Koning, Luka
AU - Hartel, Pieter
AU - Veldkamp, Bernard
N1 - Funding Information:
The research was funded by Stichting Achmea Slachtoffer en Samenleving (SASS) (Achmea Victim and Society Foundation), as well as International Card Services (ICS), the National Police and the Dutch Banking Association (NVB).
Funding Information:
We would like to thank everyone who made this research possible, in particular the board of Stiching Achmea Slachtoffer en Samenleving (SASS), specifically Gijs de Vries and Bart Bielars, and the other funders: Hans van Loon (Dutch Banking Association, NVB), Marco Doeland (Dutch Banking Association, NVB), Maurice Koot and Corinne Weeda- Hoogstad (International Card Services, ICS), and Peter Hagenaars (National Police). We are very grateful to Marti DeLiema for providing the original Stanford questionnaire and for helping to translate it for the current research. We also thank Choukri Farahi and Priscilla Huits (International Card Services, ICS) for their feedback on the victimization survey. Thanks to Evi de Cock and her colleagues from CentERdata, for their active contribution to conducting the victimization survey. Thanks also to student assistants Rebecca Rameckers, Jildert de Jong and Dominique Westerveld for their work. We also thank dr. Jaume Masip of the University of Salamanca (Spain) and dr. Chris Street of Keele University (UK) for their input. Thanks also to the reviewers of this paper and to dr. Jacqueline Evans for her helpful comments for improving the final version of the paper. And, of course, many thanks to Hans Hendrickx for reading the earlier versions of the manuscript.
Publisher Copyright:
Copyright © 2023 Junger, Koning, Hartel and Veldkamp.
Financial transaction number:
2500069329
PY - 2023/5/12
Y1 - 2023/5/12
N2 - Aim: Research on deception detection has usually been executed in experimental settings in the laboratory. In contrast, the present research investigates deception detection by actual victims and near victims of fraud, as reported in their own words.Materials and methods: Our study is based on a nationally representative survey of 11 types of (mostly) online fraud victimization (N = 2,864). We used qualitative information from actual victims and near victims on why they didn’t fall for the fraud, or how, in hindsight, it could have been prevented.Results: The main detection strategies mentioned by near victims (N = 958) were 1) fraud knowledge (69%): these near victims clearly recognized fraud. Other strategies related to fraud knowledge were: noticing mistakes (27.9%), rules and principles about safe conduct (11.7%), and personal knowledge (7.1%). A second type of strategy was distrust (26.1%). A third strategy was ‘wise through experience’ (1.6%). Finally, a limited number of respondents (7.8%) searched for additional information: they contacted other people (5.5%), sought information online (4%), contacted the fraudster (2.9%), contacted their bank or credit card company (2.2%), or contacted the police (0.2%). Using knowledge as a strategy decreases the probability of victimization by a factor of 0.43. In contrast, all other strategies increased the likelihood of victimization by a factor of 1.6 or more. Strategies generally were uncorrelated, several strategies differed by type of fraud. About 40% of the actual victims (N = 243) believed that their victimization might have been prevented by: 1) seeking information (25.2%), 2) paying more attention (18.9%), 3) a third party doing something (16.2%), 4) following safety rules or principles, like using a safer way of paying or trading (14.4%), or by 5) ‘simply not going along with it’ (10.8%). Most of these strategies were associated with a higher, not lower, likelihood of victimization.Conclusion: Clearly, knowledge of fraud is the best strategy to avoid fraud victimization. Therefore, a more proactive approach is needed to inform the public about fraud and attackers’ modus operandi, so that potential victims already have knowledge of fraud upon encountering it. Just providing information online will not suffice to protect online users.
AB - Aim: Research on deception detection has usually been executed in experimental settings in the laboratory. In contrast, the present research investigates deception detection by actual victims and near victims of fraud, as reported in their own words.Materials and methods: Our study is based on a nationally representative survey of 11 types of (mostly) online fraud victimization (N = 2,864). We used qualitative information from actual victims and near victims on why they didn’t fall for the fraud, or how, in hindsight, it could have been prevented.Results: The main detection strategies mentioned by near victims (N = 958) were 1) fraud knowledge (69%): these near victims clearly recognized fraud. Other strategies related to fraud knowledge were: noticing mistakes (27.9%), rules and principles about safe conduct (11.7%), and personal knowledge (7.1%). A second type of strategy was distrust (26.1%). A third strategy was ‘wise through experience’ (1.6%). Finally, a limited number of respondents (7.8%) searched for additional information: they contacted other people (5.5%), sought information online (4%), contacted the fraudster (2.9%), contacted their bank or credit card company (2.2%), or contacted the police (0.2%). Using knowledge as a strategy decreases the probability of victimization by a factor of 0.43. In contrast, all other strategies increased the likelihood of victimization by a factor of 1.6 or more. Strategies generally were uncorrelated, several strategies differed by type of fraud. About 40% of the actual victims (N = 243) believed that their victimization might have been prevented by: 1) seeking information (25.2%), 2) paying more attention (18.9%), 3) a third party doing something (16.2%), 4) following safety rules or principles, like using a safer way of paying or trading (14.4%), or by 5) ‘simply not going along with it’ (10.8%). Most of these strategies were associated with a higher, not lower, likelihood of victimization.Conclusion: Clearly, knowledge of fraud is the best strategy to avoid fraud victimization. Therefore, a more proactive approach is needed to inform the public about fraud and attackers’ modus operandi, so that potential victims already have knowledge of fraud upon encountering it. Just providing information online will not suffice to protect online users.
KW - crime victimization
KW - cybercrime
KW - deception-detection
KW - fraud victimization
KW - human factors
KW - online fraud
UR - http://www.scopus.com/inward/record.url?scp=85160089988&partnerID=8YFLogxK
U2 - 10.3389/fpsyg.2023.1135369
DO - 10.3389/fpsyg.2023.1135369
M3 - Article
AN - SCOPUS:85160089988
SN - 1664-1078
VL - 14
JO - Frontiers in psychology
JF - Frontiers in psychology
M1 - 1135369
ER -