TY - CHAP
T1 - Towards User Modelling in the Combat Against Cyberbullying
AU - Dadvar, M.
AU - Ordelman, R.
AU - de Jong, F.M.G.
AU - Trieschnigg, D.
N1 - Reporting year: 2012
PY - 2012
Y1 - 2012
N2 - Friendships, relationships and social communications have all gone to a new level with new definitions as a result of the invention of online social networks. Meanwhile, alongside this transition there is increasing evidence that online social applications have been used by children and adolescents for bullying. State-of-the-art studies in cyberbullying detection have mainly focused on the content of the conversations while largely ignoring the users involved in cyberbullying. We hypothesis that incorporation of the users’ profile, their characteristics, and post-harassing behaviour, for instance, posting a new status in another social network as a reaction to their bullying experience, will improve the accuracy of cyberbullying detection. Cross-system analyses of the users’ behaviour - monitoring users’ reactions in different online environments - can facilitate this process and could lead to more accurate detection of cyberbullying. This paper outlines the framework for this faceted approach.
AB - Friendships, relationships and social communications have all gone to a new level with new definitions as a result of the invention of online social networks. Meanwhile, alongside this transition there is increasing evidence that online social applications have been used by children and adolescents for bullying. State-of-the-art studies in cyberbullying detection have mainly focused on the content of the conversations while largely ignoring the users involved in cyberbullying. We hypothesis that incorporation of the users’ profile, their characteristics, and post-harassing behaviour, for instance, posting a new status in another social network as a reaction to their bullying experience, will improve the accuracy of cyberbullying detection. Cross-system analyses of the users’ behaviour - monitoring users’ reactions in different online environments - can facilitate this process and could lead to more accurate detection of cyberbullying. This paper outlines the framework for this faceted approach.
M3 - Contribution to conference proceedings
VL - 7337
T3 - Lecture Notes in Computer Science
BT - Proceedings of the17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012
PB - Springer
ER -