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• W125833596 abstract "The ability to detect deceptive statements in predatory communications can help in the identification of sexual predators, a type of deception that is recently attracting the attention of the research community. Due to the intention of a pedophile of hiding his/her true identity (name, age, gender and location) its detection is a challenge. According to previous research, fixated discourse is one of the main characteristics inherent to the language of online sexual predation. In this paper we approach this problem by computing sex-related lexical chains spanning over the conversation. Our study shows a considerable variation in the length of sex-related lexical chains according to the nature of the corpus, which supports our belief that this could be a valuable feature in an automated pedophile detection system." @default.
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• W125833596 date "2012-04-23" @default.
• W125833596 modified "2023-09-27" @default.
• W125833596 title "Modelling Fixated Discourse in Chats with Cyberpedophiles" @default.
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