Detection and fine-grained classification of cyberbullying events
- Author
- Cynthia Van Hee (UGent) , Els Lefever (UGent) , Ben Verhoeven, Julie Mennes (UGent) , Bart Desmet (UGent) , Guy De Pauw, Walter Daelemans and Veronique Hoste (UGent)
- Organization
- Abstract
- In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, negative experiences can have a serious impact on youngsters. Recent studies have reported cybervictimization rates among teenagers that vary between 20% and 40%. In this paper, we focus on cyberbullying as a particular form of cybervictimization and explore its automatic detection and fine-grained classification. Data containing cyberbullying was collected from the social networking site Ask.fm. We developed and applied a new scheme for cyberbullying annotation, which describes the presence and severity of cyberbullying, a post author's role (harasser, victim or bystander) and a number of fine-grained categories related to cyberbullying, such as insults and threats. We present experimental results on the automatic detection of cyberbullying and explore the feasibility of detecting the more fine-grained cyberbullying categories in online posts. For the first task, an F-score of 55.39% is obtained. We observe that the detection of the fine-grained categories (e.g. threats) is more challenging, presumably due to data sparsity, and because they are often expressed in a subtle and implicit way.
- Keywords
- cyberbullying, classification, natural language processing
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-6969774
- MLA
- Van Hee, Cynthia, et al. “Detection and Fine-Grained Classification of Cyberbullying Events.” Proceedings of Recent Advances in Natural Language Processing, Proceedings, edited by Galia Angelova et al., 2015, pp. 672–80.
- APA
- Van Hee, C., Lefever, E., Verhoeven, B., Mennes, J., Desmet, B., De Pauw, G., … Hoste, V. (2015). Detection and fine-grained classification of cyberbullying events. In G. Angelova, K. Bontcheva, & R. Mitkov (Eds.), Proceedings of Recent Advances in Natural Language Processing, Proceedings (pp. 672–680).
- Chicago author-date
- Van Hee, Cynthia, Els Lefever, Ben Verhoeven, Julie Mennes, Bart Desmet, Guy De Pauw, Walter Daelemans, and Veronique Hoste. 2015. “Detection and Fine-Grained Classification of Cyberbullying Events.” In Proceedings of Recent Advances in Natural Language Processing, Proceedings, edited by Galia Angelova, Kalina Bontcheva, and Ruslan Mitkov, 672–80.
- Chicago author-date (all authors)
- Van Hee, Cynthia, Els Lefever, Ben Verhoeven, Julie Mennes, Bart Desmet, Guy De Pauw, Walter Daelemans, and Veronique Hoste. 2015. “Detection and Fine-Grained Classification of Cyberbullying Events.” In Proceedings of Recent Advances in Natural Language Processing, Proceedings, ed by. Galia Angelova, Kalina Bontcheva, and Ruslan Mitkov, 672–680.
- Vancouver
- 1.Van Hee C, Lefever E, Verhoeven B, Mennes J, Desmet B, De Pauw G, et al. Detection and fine-grained classification of cyberbullying events. In: Angelova G, Bontcheva K, Mitkov R, editors. Proceedings of Recent Advances in Natural Language Processing, Proceedings. 2015. p. 672–80.
- IEEE
- [1]C. Van Hee et al., “Detection and fine-grained classification of cyberbullying events,” in Proceedings of Recent Advances in Natural Language Processing, Proceedings, Hissar, Bulgaria, 2015, pp. 672–680.
@inproceedings{6969774,
abstract = {{In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, negative experiences can have a serious impact on youngsters. Recent studies have reported cybervictimization rates among teenagers that vary between 20% and 40%. In this paper, we focus on cyberbullying as a particular form of cybervictimization and explore its automatic detection and fine-grained classification. Data containing cyberbullying was collected from the social networking site Ask.fm. We developed and applied a new scheme for cyberbullying annotation, which describes the presence and severity of cyberbullying, a post author's role (harasser, victim or bystander) and a number of fine-grained categories related to cyberbullying, such as insults and threats. We present experimental results on the automatic detection of cyberbullying and explore the feasibility of detecting the more fine-grained cyberbullying categories in online posts. For the first task, an F-score of 55.39% is obtained. We observe that the detection of the fine-grained categories (e.g. threats) is more challenging, presumably due to data sparsity, and because they are often expressed in a subtle and implicit way.}},
author = {{Van Hee, Cynthia and Lefever, Els and Verhoeven, Ben and Mennes, Julie and Desmet, Bart and De Pauw, Guy and Daelemans, Walter and Hoste, Veronique}},
booktitle = {{Proceedings of Recent Advances in Natural Language Processing, Proceedings}},
editor = {{Angelova, Galia and Bontcheva, Kalina and Mitkov, Ruslan}},
issn = {{1313-8502}},
keywords = {{cyberbullying,classification,natural language processing}},
language = {{eng}},
location = {{Hissar, Bulgaria}},
pages = {{672--680}},
title = {{Detection and fine-grained classification of cyberbullying events}},
year = {{2015}},
}