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Although there is a general decline in all forms of online solicitation of minors, with only 3% of youth in 2010 reporting an aggressive solicitation (NCMEC, 2014), the FBI estimates that 750,000 adults seek sex with youths daily (Rodas, 2014).

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Investigating crimes against children, specifically sexual solicitations, are complicated because not all offenders are contact-driven, meaning they want to meet the minor for sex in the physical world; instead, some offenders are fantasy-driven, in that they are more interested in cybersex and less interested in meeting the minor in the physical world.

Thus, the sheer volume of sexual solicitations online makes it difficult for law enforcement to determine whether an offender is contact-driven vs. In order to assist law enforcement with their ability to prioritize cases in which the offender is more likely to be contact-driven, Seigfried-Spellar and colleagues (2017) identified language-based differences in the online chats between minors and arrested contact-driven and fantasy-driven offenders.

“That way, officers can begin to prioritize which cases they want to put resources toward to investigate more quickly.” Other standout characteristics of sexual predators grooming victims for a face-to-face meeting is that the chats will often go on for weeks or even months until a meeting is achieved.

Those involved in sexual fantasy chatting move on from one youth to another quickly.

CATT algorithms examine only the conversation factors and do not take the sex of either suspect or victim into consideration, at this time.

The project began with initial research done by Seigfried-Spellar and former Purdue professor Ming Ming Chiu.“Meaning that we could potentially stop a sex offense from occurring because if law enforcement is notified of a suspicious chat quickly enough, CATT can analyze and offer the probability of a face-to-face,” she said.“We could potentially prevent a child from being sexually assaulted.” Seigfried-Spellar worked in developing CATT with two co-principal investigators, associate professor Julia Taylor Rayz, who specializes in machine learning and natural language processing, and computer and information technology department head Marcus Rogers, who has an extensive background in digital forensics tool development.Seigfried-Spellar said CATT could be handling data from active cases as early as the end of the year.The conversation analysis provides the basis for future law enforcement tools as well, she said.Mindfulness-based therapy teaches how being in the moment guides you to move beyond anxiety, fear, uncertainty, unwanted habits and hiding from your true nature.

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