Defending Against Paedophiles in Heterogeneous Network Environments
Project information
Abstract: 

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 linguistic features (associated to age, gender and deceptive language usage) of chat language. The aim of the DAPHNE project is to develop a software prototype that will support the law enforcement agencies' control of peer-to-peer networks with regard to the illegal distribution of child pornography and will detect paedophiles in chat rooms or social networks.

Abstract Dutch: 

In dit project stellen we enerzijds een methodologie voor om de manuele controle van peer-to-peernetwerken te (semi)automatiseren en anderzijds een methodologie voor de automatische extractie en analyse van taalkenmerken (geassocieerd met leeftijd, geslacht en misleidend taalgebruik) van chattaal. De doelstelling van het DAPHNE-project is de ontwikkeling van een software prototype dat de politiediensten kan ondersteunen bij de controle van peer-to-peernetwerken op het illegaal verspreiden van kinderpornografisch materiaal en internetpedofielen kan detecteren in chatruimtes of sociale netwerken.

Project Leader(s): 
Walter Daelemans
Period: 
01/01/2010 - 31/12/2013

Publications + Talks

Peersman, C., Kestemont M., De Decker B., De Pauw G., Luyckx K., Morante R., et al. (2013).  The Chatty Corpus: a gold standard for Dutch chat normalization. Presented at the 23rd Meeting of Computational Linguistics in the Netherlands (CLIN2013), Enschede, The Netherlands.
Luyckx, K., Vaassen F., Peersman C., & Daelemans W. (2012).  Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification. Presented at the 22th Meeting of Computational Linguistics in the Netherlands (CLIN 2012), Tilburg, The Netherlands. PDF
Peersman, C., Vaassen F., Van Asch V., & Daelemans W. (2012).  Conversation Level Constraints on Pedophile Detection in Chat Rooms. (Pamela Forner, Jussi Karlgren, Christa Womser-Hacker, Ed.).CLEF 2012 Conference and Labs of the Evaluation Forum - Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN). PDF
Peersman, C., Daelemans W., & Van Vaerenbergh L. (2011).  Age and Gender Prediction on Netlog Data. Presented at the 21st Meeting of Computational Linguistics in the Netherlands (CLIN21), Ghent, Belgium..
Peersman, C., & Daelemans W. (2011).  Age and Gender Prediction on Netlog Posts. Presented at the Colloquium Series of the Language and Speech unit, Nijmegen, The Netherlands.
Peersman, C., Daelemans W., & Van Vaerenbergh L. (2011).  Predicting Age and Gender in Online Social Networks. 3rd International Workshop on Search and Mining User-generated Contents (SMUC2011). PDF
Peersman, C., Daelemans W., & Van Vaerenbergh L. (2010).  Age and Gender Prediction on Netlog Data. Presented at the 14th ATILA Research Meeting (ATILA 2010), Ostend, Belgium.
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