A Safer Internet: (Semi)automatically Recognizing Internet Paedophilia in Multilingual Online Social Networks.

In this project we on the one hand propose a methodology to (semi)automate the manual control of peer-to-peer networks and on the other hand a methodology for the automatic extraction and analysis of stylistic characteristics (associated to personality, age group and deceptive language usage) which we want to apply to both individual internet paedophiles and groups of paedophiles in chat rooms.

Keywords:TEXT ANALYSIS, INTERNET PAEDOPHILIA, SOCIAL NETWORKS, CONTENT ANALYSIS

Disciplines:Artificial intelligence, Cognitive science and intelligent systems, Linguistics, Theory and methodology of linguistics, Other languages and literary studies

Project type:Collaboration project