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In their own words: deception detection by victims and near victims of fraud
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 na...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213419/ https://www.ncbi.nlm.nih.gov/pubmed/37251040 http://dx.doi.org/10.3389/fpsyg.2023.1135369 |
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author | Junger, Marianne Koning, Luka Hartel, Pieter Veldkamp, Bernard |
author_facet | Junger, Marianne Koning, Luka Hartel, Pieter Veldkamp, Bernard |
author_sort | Junger, Marianne |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10213419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102134192023-05-27 In their own words: deception detection by victims and near victims of fraud Junger, Marianne Koning, Luka Hartel, Pieter Veldkamp, Bernard Front Psychol Psychology 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. Frontiers Media S.A. 2023-05-12 /pmc/articles/PMC10213419/ /pubmed/37251040 http://dx.doi.org/10.3389/fpsyg.2023.1135369 Text en Copyright © 2023 Junger, Koning, Hartel and Veldkamp. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Junger, Marianne Koning, Luka Hartel, Pieter Veldkamp, Bernard In their own words: deception detection by victims and near victims of fraud |
title | In their own words: deception detection by victims and near victims of fraud |
title_full | In their own words: deception detection by victims and near victims of fraud |
title_fullStr | In their own words: deception detection by victims and near victims of fraud |
title_full_unstemmed | In their own words: deception detection by victims and near victims of fraud |
title_short | In their own words: deception detection by victims and near victims of fraud |
title_sort | in their own words: deception detection by victims and near victims of fraud |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213419/ https://www.ncbi.nlm.nih.gov/pubmed/37251040 http://dx.doi.org/10.3389/fpsyg.2023.1135369 |
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