Authors:
Thársis Salathiel de Souza Viana
1
;
Marcos de Oliveira
1
;
Ticiana Linhares Coelho da Silva
1
;
Mário Sérgio Rodrigues Falcão Júnior
2
and
Enyo José Tavares Gonçalves
1
Affiliations:
1
Universidade Federal do Ceará, Brazil
;
2
Universidade Estadual do Ceará, Brazil
Keyword(s):
Messages Exchange Classification, Social Media, Children and Teenagers Protection.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Software Agents and Internet Computing
;
Web 2.0 and Social Networking Controls
;
Web Information Systems and Technologies
Abstract:
Nowadays the Internet is widely used by children and teenagers, where privacy and exposure protection are often not prioritised. This can leave them exposed to paedophiles, who can use a simple chat to start a conversation, which may be the first step towards sexual abuse. In the paper (Falcão Jr. et al, 2016), the authors proposed a tool to detect possible dangerous conversations for a minor in a social network, based on the minor's behaviour. However, the proposed tool does not thoroughly address the analyses of the messages exchanged and attempts to detect the suspicious ones in a chat conversation using a superficial approach. This project aims to extend (Falcão Jr. et al, 2016) by automatically classifying the messages exchanged between a minor and an adult in a social network, hence to separate the ones that seem to come from a paedophile from those that seem to be a normal conversation. An experiment with a real conversation was done to test the effectiveness of the created mo
del.
(More)