Is There a Scam for Everyone?: psychologically Profiling Cyberscam Victims

By studying the psychological profile of cyberscam victims, we may be able to develop more effective methods to reduce the rates of this type of cybercrime substantially. This paper examined which psychological and socio-demographic characteristics predicted cyberscam victimhood, in general, and acr...

Descripción completa

Guardado en:  
Detalles Bibliográficos
Autor principal: Whitty, Monica T. 1969- (Autor)
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2020
En: European journal on criminal policy and research
Año: 2020, Volumen: 26, Número: 3, Páginas: 399-409
Acceso en línea: Volltext (Resolving-System)
Journals Online & Print:
Gargar...
Verificar disponibilidad: HBZ Gateway
Palabras clave:
Descripción
Sumario:By studying the psychological profile of cyberscam victims, we may be able to develop more effective methods to reduce the rates of this type of cybercrime substantially. This paper examined which psychological and socio-demographic characteristics predicted cyberscam victimhood, in general, and across individual cyberscams (including, consumer, charity, investment, and romance scams). In line with the hypotheses, more impulsive and neurotic individuals were more likely to be scammed by cyberscams, in general. Contrary to the hypotheses, those who scored high on internal locus of control, men, and educated people were more likely to be tricked by cyberscams, in general. Some important differences between the types of cyberscams were also identified. Investment scam victims were more likely to be older, men, and score higher on internal locus of control compared with the other cyberscam victims. Consumer scam victims, in contrast to other scam victims, were more likely to be women and were less educated. The work here suggests that there is merit in systematically characterizing different types of cyberfrauds and examining, in detail, a typology of cyberscam victims by scam type. It suggests that a ‘one size fits all model’ to explain cyberscam victimhood is limiting.
ISSN:1572-9869
DOI:10.1007/s10610-020-09458-z