Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Campbell, M.A.: Cyber bullying: An old problem in a new guise? Australian Journal of Guidance and Counselling 15, 68–76 (2005)
Espelage, D.L., Swearer, S.M.: Research on school bullying and victimization. School Psychology Review 32, 365–383 (2003)
Smith, P.K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., Tippett, N.: Cyberbullying: its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry 49, 376–385 (2008)
Kowalski, R.M., Limber, S.P., Agatston, P.W.: Cyber bullying: Bullying in the digital age, p. 224. Blackwell Publishing (2008)
Yin, D., Xue, Z., Hong, L., Davison, B.D., Kontostathis, A., Edwards, L.: Detection of harassment on Web 2.0. In: Proceedings of CAW2.0, Madrid, April 20-24 (2009)
Dinakar, K., Reichart, R., Lieberman, H.: Modelling the Detection of Textual Cyberbullying. In: ICWSM 2011, Barcelona, Spain, July 17-21 (2011)
Kontostathis, A.: ChatCoder: Toward the tracking and categorization of internet predators. In: Proceedings of SDM 2009, Sparks, NV, May 2 (2009)
Tan, P.N., Chen, F., Jain, A.: Information assurance: Detection of web spam attacks in social media. In: Proceedings of Army Science Conference, Orland, Florida (2010)
Chisholm, J.F.: Cyberspace violence against girls and adolescent females. Annals of the New York Academy of Sciences 1087, 74–89 (2006)
Carmagnola, F., Cena, F.: User identification for cross-system personalisation. Information Sciences 179, 16–32 (2009)
Abel, F., Araújo, S., Gao, Q., Houben, G.-J.: Analyzing Cross-System User Modeling on the Social Web. In: Auer, S., Díaz, O., Papadopoulos, G.A. (eds.) ICWE 2011. LNCS, vol. 6757, pp. 28–43. Springer, Heidelberg (2011)
Argamon, S., Koppel, M., Fine, J., Shimoni, A.R.: Gender, genre, and writing style in formal written texts. Text - Interdisciplinary Journal for the Study of Discourse 23, 321–346 (2003)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Newsletter 11, 10–18 (2009)
Abel, F., Henze, N., Herder, E., Krause, D.: Linkage, aggregation, alignment and enrichment of public user profiles with Mypes. In: Proceedings of I-SEMANTICS, Graz, Austria, pp. 1–8 (September 2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dadvar, M., Ordelman, R., de Jong, F., Trieschnigg, D. (2012). Towards User Modelling in the Combat against Cyberbullying. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_34
Download citation
DOI: https://doi.org/10.1007/978-3-642-31178-9_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31177-2
Online ISBN: 978-3-642-31178-9
eBook Packages: Computer ScienceComputer Science (R0)