Reducing Sexual Predation and Victimization Through Warnings and Awareness among High-Risk Users

TL;DR

This study presents a strategy using warnings and awareness messages to reduce online sexual predation among high-risk users, demonstrating effectiveness especially for women in an avatar-based communication platform.

Contribution

Introduces a machine learning-based approach to identify high-risk users and evaluates a warning intervention to prevent sexual predation in an online setting.

Findings

Reduced violations among women for 12 weeks

Intervention lowered victimization and perpetration rates

Limited impact observed on male users

Abstract

Online sexual predators target children by building trust, creating dependency, and arranging meetings for sexual purposes. This poses a significant challenge for online communication platforms that strive to monitor and remove such content and terminate predators' accounts. However, these platforms can only take such actions if sexual predators explicitly violate the terms of service, not during the initial stages of relationship-building. This study designed and evaluated a strategy to prevent sexual predation and victimization by delivering warnings and raising awareness among high-risk individuals based on the routine activity theory in criminal psychology. We identified high-risk users as those with a high probability of committing or being subjected to violations, using a machine learning model that analyzed social networks and monitoring data from the platform. We conducted a randomized controlled trial on a Japanese avatar-based communication application, Pigg Party. High-risk players in the intervention group received warnings and awareness-building messages, while those in the control group did not receive the messages, regardless of their risk level. The trial involved 12,842 high-risk players in the intervention group and 12,844 in the control group for 138 days. The intervention successfully reduced violations and being violated among women for 12 weeks, although the impact on men was limited. These findings contribute to efforts to combat online sexual abuse and advance understanding of criminal psychology.