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Computer-generated random sampling guarantees the genuine randomness of our methods when we refer to random selection in this study. The classifier performs well and can distinguish between legitimate pornography websites and unlawful CSAM websites. We have identified Article Google Scholar Owen, G. Developmental pathways into social and sexual deviance. Beier, K. Almost half of the respondents report wanting to stop viewing CSAM monthly, weekly, or nearly every time Dalins, J. Sci Rep 14 , We determine if the search session reveals the exact age in which the CSAM user is interested. Child Sex. Risk factors for child sexual abuse material users contacting children online: Results of an anonymous multilingual survey on the dark web.
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