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Risky communication between children and adults on the Internet: An observational analysis and recommendations for the development of algorithms predicting risky communication
 Plášilová, Leona ; Androvičová, Renáta (advisor) ; Štětovská, Iva (referee)
Child sexual abuse is a burning social issue and has significant psychosocial impact on future life of the child. Domestic as well as global statistics show that this phenomenon has been partly shifting to the Internet, which often provides offenders with greater anonymity and wider reach. One of the preventive measures might be development of technologies using artificial intelligence and machine learning, which can automatically detect risky communication on the Internet, warn the victim and inform the offender about illegality of his behaviour. The presented work focuses on both analysis of offenders' behaviour and a fake victim (actress representing a twelve-year-old girl) in their joint online communication.The objective is to thoroughly investigate the course of such communication and analyse predictors (occurrence of specific types of messages), according to which it could be possible to detect offenders with higher risk of harm to the victim at the beginning of the communication. The analysis is based on communications with real offenders that were obtained in collaboration with creators of the documentary "V síti" (n = 34). They were selected based on the following criteria: communication on Facebook, at least 100 messages in the communication, it is assumed that the offender is an adult...
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