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Cyber-crime targeting children such as online pedophile activity are a majorand a growing concern to society. A deep understanding of predatory chatconversations on the Internet has implications in designing effective solutionsto automatically identify malicious conversations from regular conversations.We believe that a deeper understanding of the pedophile conversation can resultin more sophisticated and robust surveillance systems than majority of thecurrent systems relying only on shallow processing such as simple word-countingor key-word spotting.  In this paper, we study pedophile conversations from the perspective ofonline grooming theory and perform a series of linguistic-based empiricalanalysis on several pedophile chat conversations to gain useful insights andpatterns. We manually annotated 75 pedophile chat conversations with six stagesof online grooming and test several hypothesis on it. The results of ourexperiments reveal that relationship forming is the most dominant onlinegrooming stage in contrast to the sexual stage. We use a widely usedword-counting program (LIWC) to create psycho-linguistic profiles for each ofthe six online grooming stages to discover interesting textual patterns usefulto improve our understanding of the online pedophile phenomenon. Furthermore,we present empirical results that throw light on various aspects of a pedophileconversation such as probability of state transitions from one stage toanother, distribution of a pedophile chat conversation across various onlinegrooming stages and correlations between pre-defined word categories and onlinegrooming stages.

Characterizing Pedophile Conversations on the Internet using Online Grooming