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A Lexicon-based Approach for Hate Speech Detection
Abstract
We explore the idea of creating a classifier that can be used to detect presence of hate speech in web discourses such as web forums and blogs.In this work, hate speech problem is abstracted into three main thematic areas of race, nationality and religion.The goal of our research is to create a model classifier that uses sentiment analysis techniques and in particular subjectivity detection to not only detect that a given sentence is subjective but also to identify and rate the polarity of sentiment expressions.We begin by whittling down the document size by removing objective sentences.Then, using subjectivity and semantic features related to hate speech, we create a lexicon that is employed to build a classifier for hate speech detection.Experiments with a hate corpus show significant practical application for a real-world web discourse.
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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
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
Social Media, Echo Chambers, and Political Polarization
Barberá, P. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.004 · Cited by 373
A Measurement Study of Hate Speech in Social Media
Mondal, M., Silva, L. A., & Benevenuto, F. (2017) · Proceedings of the 28th ACM Conference on Hypertext and Social Media · doi:10.1145/3078714.3078723 · Cited by 357
Metadata
- Authors
- Gitari, N. D., Zhang, Z., Damien, H., & Long, J.
- Venue
- International Journal of Multimedia and Ubiquitous Engineering
- Publisher
- Global Vision Press
- Published
- 2015-04-30
- Volume
- 10
- Issue
- 4
- Pages
- 215-230
- ISSN
- 1975-0080 (ISSN-L)
- OpenAlex
- W2181854537
- Cited by
- 502
- References
- 0
- FWCI
- 20.33
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gitari, N. D., Zhang, Z., Damien, H., & Long, J. (2015). A Lexicon-based Approach for Hate Speech Detection. International Journal of Multimedia and Ubiquitous Engineering. https://doi.org/10.14257/ijmue.2015.10.4.21
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