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Hate Speech Detection with Comment Embeddings
Abstract
We address the problem of hate speech detection in online user comments. Hate speech, defined as an "abusive speech targeting specific group characteristics, such as ethnicity, religion, or gender", is an important problem plaguing websites that allow users to leave feedback, having a negative impact on their online business and overall user experience. We propose to learn distributed low-dimensional representations of comments using recently proposed neural language models, that can then be fed as inputs to a classification algorithm. Our approach addresses issues of high-dimensionality and sparsity that impact the current state-of-the-art, resulting in highly efficient and effective hate speech detectors.
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Research works printed but not linked: 7
- Burnap P., 2014, IPP
- Kwok I., 2013, AAAI
- Q. V. Le and T. Mikolov. Distributed representations of sentences and documents. arXiv:1405.4053 2014. Q. V. Le and T. Mikolov. Distributed representations of sentences and documents. arXiv:1405.4053 2014. · arXiv
- Massaro T. M., 1990, Equality and freedom of expression: The hate speech dilemma, Wm. & Mary L. Rev., 32, 211
- 10.1561/1500000011 · DOI · Paper page
- Warner W., 2012, Workshop on Language in Social Media at ACL, 19
- Xu Z., 2010, Anti-Abuse and Spam Conference
Cited by
Automated Hate Speech Detection and the Problem of Offensive Language
Davidson, T., Warmsley, D., Macy, M., & Weber, I. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14955 · Cited by 2,610
A Survey on Automatic Detection of Hate Speech in Text
Fortuna, P., & Nunes, S. (2019) · ACM Computing Surveys · doi:10.1145/3232676 · Cited by 1,241
Abusive Language Detection in Online User Content
Nobata, C., Tetreault, J., Thomas, A., Mehdad, Y., & Chang, Y. (2016) · Proceedings of the 25th International Conference on World Wide Web · doi:10.1145/2872427.2883062 · Cited by 1,122
Understanding Abuse: A Typology of Abusive Language Detection Subtasks
Waseem, Z., Davidson, T., Warmsley, D., & Weber, I. (2017) · Proceedings of the First Workshop on Abusive Language Online · doi:10.18653/v1/w17-3012 · Cited by 474
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Mozafari, M., Farahbakhsh, R., & Crespi, N. (2020) · Studies in Computational Intelligence · doi:10.1007/978-3-030-36687-2_77 · Cited by 396
Metadata
- Authors
- Djuric, N., Zhou, J., Morris, R., Grbovic, M., Radosavljevic, V., & Bhamidipati, N.
- Venue
- Proceedings of the 24th International Conference on World Wide Web
- Publisher
- ACM
- Published
- 2015-05-18
- Pages
- 29-30
- OpenAlex
- W1071251684
- Cited by
- 712
- References
- 0
- FWCI
- 25.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Djuric, N., Zhou, J., Morris, R., Grbovic, M., Radosavljevic, V., & Bhamidipati, N. (2015). Hate Speech Detection with Comment Embeddings. Proceedings of the 24th International Conference on World Wide Web. https://doi.org/10.1145/2740908.2742760
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