Automatically Identifying Online Grooming Chats Using CNN-based Feature Extraction Konferenzpaper uri icon


  • With the increasing importance of social media in everyone’s life, the risk of its misuse by criminals is also increasing. In particular children are at risk of becoming victims of online related crime, especially sexual abuse. For example, sexual predators use online grooming to gain the trust of children and young adults. In this paper, a two-step approach using a CNN to identify sexual predators in social networks is proposed. For the identification of a sexual predator profile an F0.5 score of 0.79 and an F2 score of 0.98 were obtained. The score was lower for the identification of specific line which initialized the grooming process (F2 = 0.61).


  • 2021


  • 137

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