The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Understanding Abuse: A Typology of Abusive Language Detection Subtasks
Open accessAbstract
As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label. Based on work on hate speech, cyberbullying, and online abuse we propose a typology that captures central similarities and differences between subtasks and we discuss its implications for data annotation and feature construction. We emphasize the practical actions that can be taken by researchers to best approach their abusive language detection subtask of interest.
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Racial microaggressions in everyday life: Implications for clinical practice.
Sue, D. W., Capodilupo, C. M., Torino, G. C., Bucceri, J. M., Holder, A. M. B., Nadal, K. L., & Esquilin, M. (2007) · American Psychologist · doi:10.1037/0003-066x.62.4.271 · Cited by 5,569
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
Self-citationHateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
Waseem, Z., & Hovy, D. (2016) · Proceedings of the NAACL Student Research Workshop · doi:10.18653/v1/n16-2013 · Cited by 1,655
Self-citationAbusive 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
Hate Speech Detection with Comment Embeddings
Djuric, N., Zhou, J., Morris, R., Grbovic, M., Radosavljevic, V., & Bhamidipati, N. (2015) · Proceedings of the 24th International Conference on World Wide Web · doi:10.1145/2740908.2742760 · Cited by 712
Burnap, P., & Williams, M. L. (2015) · Policy & Internet · doi:10.1002/poi3.85 · Cited by 616
Detecting Hate Speech on the World Wide Web
Warner, W. B., & Hirschberg, J. (2012) · Cited by 586
Ethnic Boundary Making: Institutions, Power, Networks
Wimmer, A. (2013) · Cited by 549
Modeling the Detection of Textual Cyberbullying
Dinakar, K., Reichart, R., & Lieberman, H. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i3.14209 · Cited by 512
A Lexicon-based Approach for Hate Speech Detection
Gitari, N. D., Zhang, Z., Damien, H., & Long, J. (2015) · International Journal of Multimedia and Ubiquitous Engineering · doi:10.14257/ijmue.2015.10.4.21 · Cited by 502
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Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv · doi:10.48550/arxiv.2108.07258 · Cited by 2,676
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Davidson, T., Bhattacharya, D., & Weber, I. (2019) · Proceedings of the Third Workshop on Abusive Language Online · doi:10.18653/v1/w19-3504 · Cited by 414
Self-citationA 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
The hateful memes challenge: Detecting hate speech in multimodal memes
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Metadata
- Authors
- Waseem, Z., Davidson, T., Warmsley, D., & Weber, I.
- Venue
- Proceedings of the First Workshop on Abusive Language Online
- Published
- 2017
- Pages
- 78-84
- OpenAlex
- W2620540598
- Cited by
- 474
- References
- 21
- FWCI
- 20.58
- Type
- conference paper
- Language
- en
- Open access
- gold
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