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23856 Expert knowledge for automatic detection of bullies in social networks
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Dadvar, M. and Trieschnigg, R.B. and de Jong, F.M.G. (2013) Expert knowledge for automatic detection of bullies in social networks. In: 25th Benelux Conference on Artificial Intelligence, BNAIC 2013, 7-8 Nov 2013, Delft, the Netherlands. pp. 57-64. TU Delft . ISBN not assigned

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Official URL: http://bnaic2013.tudelft.nl/proceedings/papers/paper_79.pdf

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Abstract

Cyberbullying is a serious social problem in online environments and social networks. Current approaches to tackle this problem are still inadequate for detecting bullying incidents or to flag bullies. In this study we used a multi-criteria evaluation system to obtain a better understanding of YouTube users‟ behaviour and their characteristics through expert knowledge. Based on experts‟ knowledge, the system assigns a score to the users, which represents their level of “bulliness” based on the history of their activities, The scores can be used to discriminate among users with a bullying history and those who were not engaged in hurtful acts. This preventive approach can provide information about users of social networks and can be used to build monitoring tools to aid finding and stopping potential bullies.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-HMI: Human Media Interaction, EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:Puppy-IR: An Open Source Environment to construct Information Services for Children, FACT: Folktales As Classifiable Texts
Uncontrolled Keywords:Cyberbullying, Sentiment analysis, Multi-criteria evaluation system
ID Code:23856
Status:Published
Deposited On:24 December 2013
Refereed:Yes
International:Yes
More Information:statisticsmetis

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