Online child sexual exploitation: An investigative analysis of offender characteristics and offending behavior

Shelton, Joy Lynn E.; Eakin, Jennifer D.; Hoffer, Tia A.; Muirhead, Yvonne; Owens, Jessica N.

doi:10.1016/j.avb.2016.07.002

Cited by 31 publications

(41 citation statements)

References 13 publications

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“…In general, these findings are equivalent to the other studies analyzed. In the studies by Pincolini and Hutz (2014); Shelton et al (2016); Sullivan and Sheehan (2016), and Titcomb et al (2012), for example, there were no significant differences in the mean age among the participants, who were approximately 40 years old. In the study by Pincolini and Hutz (2014), at the time of the crime, they were around the age of 40 years, although with great variation (M = 39.54, SD = 13.76 years).…”

Section: Similarities Between Groupsmentioning

confidence: 86%

“…Santos et al (2015) identified that most sex offenders against children/adolescents reported that their victims were women from the extrafamilial context. Several authors point to the predominance of female victims (Levenson & Socia, 2015;Pincolini & Hutz, 2014;Shelton et al, 2016). The data contradict ideas that rest on the social imaginary that the family environment is a safe place, and that the aggressor does not belong to the private context.…”

Section: Similarities Between Groupsmentioning

confidence: 92%

“…In the study by Shelton et al (2016) who conducted an investigative analysis of sex offenders against children/adolescents and their aggressive behaviors, 43% (n = 83) of sex offenders against children/adolescents had never been married; 34% (n = 66) were married; 12% (n = 24) were divorced; 5% (n = 9) were separated; 2% (n = 3) were widowers; 2% (n = 3) were in a stable relationship and 2% (n = 3) were classified as another.…”

Section: Similarities Between Groupsmentioning

confidence: 98%

“…Another biological characteristic reported in the studies on sexual offense is age. Several studies (Pincolini & Hutz, 2014;Shelton et al, 2016;Sullivan & Sheehan, 2016;Titcomb et al, 2012) have pointed out that this population generally belongs to the 30-50 years age group. Research conducted by Titcomb et al (2012), which involved biological and non-biological parents (stepfathers), identified that the mean age of sex offenders against children/adolescents at first aggression was 36.31 years (SD = 7.5), ranging from 20 and 68 years, in both samples.…”

mentioning

confidence: 99%

“…Among the studies, the main biopsychosocial characteristics found in the literature are related to the biological particularities, such as physiological arousal, age, sex (Pincolini & Hutz, 2014;Shelton, Eakin, Hoffer, Muirhead, & Owens, 2016;Sullivan & Sheehan, 2016;Titcomb, Goodman-Delahunty, & Puiseau, 2012), psychological traits, with emphasis on self-esteem, alcohol and/or drug abuse, attachment style and cognitive distortion (Levenson & Socia, 2016;Walton, Duff, & Chou, 2017;Wurtele, Simons, & Moreno, 2014), and social conditions, such as dysfunctional family dynamics, kinship relationship, age and gender of the victim (Shelton et al, 2016, Titcomb et al, 2012.…”

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confidence: 99%

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Biopsychosocial characteristics of sex offenders: An analysis of legal proceedings

Reis

Cavalcante

Valente³

2019

Estud. psicol. (Campinas)

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In this research, biopsychosocial characteristics of people accused of sexual aggression against children/adolescents between 2012 and 2014, in three districts of the state of Pará, were identified and analyzed. Data were collected by consulting court cases and recorded on a form prepared by the research group for biopsychosocial characterization. The statistical treatment of the data involved the non-hierarchical k-means clustering method, with cluster analysis. The results revealed three distinct groups; some with certain similarities due to the biological characteristics observed (Afro-descendant men over the age of 30 years, without reported organic diseases), as well as psychological and social characteristics (men with defined occupation and work, living in urban areas, with aggression to the black victim and in the family context) and differences (schooling, alcohol abuse and physical or psychological aggression, victim sex and family attachment to the aggressor). Further studies may refine the preliminary conclusions of these analyses.

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Section: Similarities Between Groupsmentioning

confidence: 86%

Section: Similarities Between Groupsmentioning

confidence: 92%

Section: Similarities Between Groupsmentioning

confidence: 98%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Biopsychosocial characteristics of sex offenders: An analysis of legal proceedings

Reis

Cavalcante

Valente³

2019

Estud. psicol. (Campinas)

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Profiling Korean sex crimes: Offender characteristics and crime scene actions

Kim

Almond

Eyre

2019

Journal Invest Psychology

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The present study aimed to examine the demographic information of sex offenders in South Korea and explore whether a U.K. thematic model of criminal behaviour could be replicated in the Korean context. The 27 variables of crime scene actions derived from 50 Korean sexual offences through a content analysis were analysed with smallest space analysis. Chi‐square was also administered to explore the differences in offender characteristics among behavioural themes. Consequently, three separate action themes, hostility–involvement, theft, and control, were revealed. Next, each case was assigned to one of the dominant or hybrid themes, with 84% of the total cases being classified to the dominant themes. Moreover, there were significant differences in four offender characteristics between the themes: “previous conviction of robbery,” “previous conviction of sexual crime,” “knowing the victim,” and “vehicle use.” These outcomes have implications for the development of the Korean profiling system.

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Users of Online Child Sexual Abuse Material

Huikuri

2023

J Police Crim Psych

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Online communities on darknet contribute to sexual violence against children. They provide offender access to Child Sexual Abuse Material and to a group of peers that supports criminal activities. This article sheds light on online child sexual abusers and their justifications for Child Sexual Abuse (CSA). It describes different offender profiles and motivations for CSA, followed by a section on policing these offences. The article then lays out psychological models, such as cognitive distortions, that are used to understand pedophiles’ behavior. The discussion is complemented by direct citations from a darknet community of CSA offenders, showing that these models are not just theoretical considerations. The last part of the article concentrates on online communities of CSA offenders. It describes different types of members of such communities and explains how the communities support individual offenders and how they provide learning models that facilitate criminal behavior. The article concludes with a short reflection of its findings, including novel insights for investigators of these crimes and proposed venues for further research.

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Online child sexual exploitation: An investigative analysis of offender characteristics and offending behavior

Cited by 31 publications

References 13 publications

Biopsychosocial characteristics of sex offenders: An analysis of legal proceedings

Biopsychosocial characteristics of sex offenders: An analysis of legal proceedings

Profiling Korean sex crimes: Offender characteristics and crime scene actions

Users of Online Child Sexual Abuse Material

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