DocumentCode :
627586
Title :
Towards the design of a platform for abuse detection in OSNs using multimedial data analysis
Author :
Vanhove, Thomas ; Leroux, Paul ; Wauters, Tim ; De Turck, Filip
Author_Institution :
Dept. of Inf. Technol., Ghent Univ. - iMinds, Ghent, Belgium
fYear :
2013
fDate :
27-31 May 2013
Firstpage :
1195
Lastpage :
1198
Abstract :
Online social networks (OSNs) are becoming increasingly popular every day. The vast amount of data created by users and their actions yields interesting opportunities, both socially and economically. Unfortunately, these online communities are prone to abuse and inappropriate behaviour such as cyber bullying. For victims, this kind of behaviour can lead to depression and other severe problems. However, due to the huge amount of users and data it is impossible to manually check all content posted on the social network. We propose a pluggable architecture with reusable components, able to quickly detect harmful content. The platform uses text-, image-, audio- and video-based analysis modules to detect inappropriate content or high risk behaviour. Domain services aggregate this data and flag user profiles if necessary. Social network moderators need only check the validity of the flagged profiles. This paper reports upon key requirements of the platform, the architectural components and important challenges.
Keywords :
data analysis; multimedia computing; security of data; social networking (online); OSN; abuse detection; audio-based analysis modules; cyber bullying; domain services; flag user profiles; image-based analysis module; multimedial data analysis; online communities; online social networks; pluggable architecture; text-based analysis modules; video-based analysis modules; Computer architecture; Conferences; Feeds; Internet; Market research; Pipelines; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Network Management (IM 2013), 2013 IFIP/IEEE International Symposium on
Conference_Location :
Ghent
Print_ISBN :
978-1-4673-5229-1
Type :
conf
Filename :
6573163
Link To Document :
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