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Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames

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Panchenko, Alexander [UCL] Fairon, Cédrick [UCL] Naets, Hubert [UCL] Beaufort, Richard [UCL]

This paper approaches the problem of automatic pedophile content identification by means of filename categorization. In our initial experiments, we used regular pornography data as a substitution of child pornography. Our system separates filenames of pornographic media from the others with an accuracy of 91–97%.

Document type Communication à un colloque (Conference Paper) – Poster
Access type Accès libre
Publication date 2013
Language Anglais
Conference "35th European Conference on Information Retrieval", Moscou, Russie (du 24/03/2013 au 27/03/2013)
Affiliations UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique
UCL - SSH/ILC - Institut Langage et Communication
UCL - SSH/TALN - Centre de traitement automatique du langage
Keywords short text categorization ; P2P networks ; child pornography
Links
Bibliographic reference Panchenko, Alexander ; Fairon, Cédrick ; Naets, Hubert ; Beaufort, Richard. Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames.35th European Conference on Information Retrieval (Moscou, Russie, du 24/03/2013 au 27/03/2013).
Permanent URL http://hdl.handle.net/2078.1/120395