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Person

Timothy Cubitt

Report

Self-reported desistance and help-seeking approaches of child sexual offenders on the darknet

John Hancock, Roderic Broadhurst

To inform prevention and intervention approaches, this study analysed posts from a darknet forum to examine approaches to desistance from offending among undetected child sexual offenders. The findings highlight the need for psychosocial treatment avenues for child sexual offenders.
Report

Financial risk indicators of child sexual abuse live streaming: a proof of concept prediction model


The live streaming of child sexual abuse (CSA) is a technologically and financially enabled crime type which has proliferated in recent years. This study uses a machine learning approach to produce a proof-of-concept model for identifying financial indicators associated with CSA live streaming. It reveals an important opportunity to use financial transactions to detect and...
Survey Report

Sexual extortion of Australian adolescents

Katherine Giunta

Sexual extortion is a form of blackmail in which a perpetrator threatens to release intimate material of a victim unless they comply with certain demands. This paper examines the prevalence and nature of sexual extortion among adolescents and finds more than one in 10 had experienced sexual extortion in their lifetime.
Systematic review

The impacts of sexual extortion on minors


Given increasing use of the internet by minors and their vulnerability to technology-facilitated offending, understanding the impacts of sexual extortion is crucial in guiding interventions that protect children. This systematic review finds that sexual extortion is a significant online threat to children and that victims suffer diverse short and long-term harms. The findings support targeted...
Literature review

Artificial intelligence and child sexual abuse


This study describes the state of current research at the intersection of artificial intelligence (AI) and child sexual abuse (CSA). It examines the uses of AI for the prevention and disruption of CSA, and the ways in which AI is used in CSA offending. An evidence gap map is provided to guide future research.

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