Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders.

  title={Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders.},
  author={Kathryn C. Seigfried-Spellar and Marcus K. Rogers and Julia Taylor Rayz and Shih-Feng Yang and Kanishka Misra and Tatiana R. Ringenberg},
  journal={Forensic science international},
A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection
A comprehensive literature review to analyze 73 peer-reviewed articles on computational approaches utilizing text or meta-data/multimedia for online sexual risk detection found that the majority of work has focused on identifying sexual predators after-the-fact, rather than taking more nuanced approaches to identify potential victims and problematic patterns that could be used to prevent victimization before it occurs.
Risk Factors for Child Sexual Abuse Material Users Contacting Children Online
This study explores a sample of 1,546 anonymous individuals who voluntarily responded to our "Help us to help you" survey when searching for child sexual abuse material (CSAM) on the dark web. Nearly
Ensemble Method for Sexual Predators Identification in Online Chats
Several machine learning classifiers including Naive Bayes, Support Vector Machine, Neural Network, Logistic Regression, Random Forest, K-Nearest Neighbors, and Decision Tree with Bag of Words features are investigated to improve the classification task.
Child sexual abuse material in child-centred institutions: situational crime prevention approaches
ABSTRACT This paper focuses on the potential for child-centred institutions to use situational crime prevention (SCP) strategies to prevent or reduce child sexual abuse material (CSAM) offending as a
Authorship Analysis of Online Predatory Conversations using Character Level Convolution Neural Networks
This work presents an authorship attribution model that trains on a corpus of online conversations involving predators, and performs subsequent analysis of the message representations to highlight differences between predatory and non-predatory message styles.


An Exploratory Study of Internet-Initiated Sexual Offenses and the Chat Room Sex Offender: Has the Internet Enabled a New Typology of Sex Offender?
It is unclear if Internet sex stings prevent incidents of child sexual exploitation and may result in convictions of individuals who may never have abused a child, but the data suggest a tentative sex offender typology, including subtypes, which need to be replicated in future studies.
The Characteristics of Online Sex Offenders: A Meta-Analysis
A meta-analysis was conducted to examine the extent to which online and offline offenders differ on demographic and psychological variables and found that online offenders had greater victim empathy, greater sexual deviancy, and lower impression management than offline offenders.
Looking Beyond the Screen: A Critical Review of the Literature on the Online Child Pornography Offender
The available evidence indicates that existing sexual offender risk assessment tools and treatment programs are not suitable for use with CPOs, and thus require revision and empirical evaluation prior to widespread use among this population.
The Online Enticement of Children: An In-Depth Analysis of CyberTipline Reports
Copyright © 2017 National Center for Missing & Exploited Children. All rights reserved. The National Center for Missing & Exploited Children operates the CyberTipline, the nation’s centralized
Public Intimacy: Disclosure Interpretation and Social Judgments on Facebook
This research examines how sociotechnical affordances shape interpretation of disclosure and social judgments on social networking sites. Drawing on the disclosure personalism framework, Study 1