The Relationship Between a CSAM Warning Messaging Chatbot and User Behavior on Pornhub

View at publisher
Authors: Joel Scanlan, Lauren C. Hall, Paul Watters, Richard Wortley, Jeremy Prichard
Cited by: 3
References: 55

Abstract

Child sexual abuse material (CSAM) is commonly searched for on the open web. This study evaluates the reThink chatbot that was integrated into a warning message page on Pornhub in the United Kingdom (UK). The chatbot directs users searching for CSAM to the StopItNow support service. Evaluation data showed a significant decrease in CSAM searches following the chatbot’s deployment, suggesting its disruptive effect. These findings highlight the potential for situational crime prevention strategies in mitigating CSAM within mainstream pornography platforms and demonstrate the potential of collaborative efforts between technology companies, law enforcement, and support organizations in combating engagement with CSAM online.

Fields of Study & Subjects

AI in Service Interactions Spam and Phishing Detection Social Robot Interaction and HRI

Publication details

Journal / source
Victims & Offenders
Publisher
Informa UK Limited
Volume
21
Issue
3
Pages
574–602
Publication date
23 March 2026
Language
EN