Online child pornography offender risk assessment using digital forensic artifacts: The need for a hybrid model.

Abstract

The prevalence of online child pornography is a major societal issue. The criminal justice system has struggled with assessing the risk of individuals involved in online sexual offenses against children, especially when it involves the possession of child pornography. Research suggests there are different categories of offenders involved in this type of behavior (e.g., Online Child Pornography Offenders, Dual Offenders, Contact Offenders), with each category having different motivations, contributing factors, and levels of risk to re-offend or escalate their criminal behavior to more serious offenses (i.e., collecting pictures to contact offending). Determining the risk that individuals involved in online sexual offenses against children pose to re-offend or escalate their criminal behavior has been problematic. Traditional sexual offender risk measures have lower predictive validity when dealing with online child pornography offenders. This article discusses the need for a formalized hybrid risk assessment model that combines the current online sex offenses against children risk measures with digital forensics artifact analysis. The evidence derived from digital forensics artifact analysis can supplement the predictive risk factors obtained from these risk assessment tools, thus increasing the reliability and validity of the risk assessment.