Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification
Manifestations of hate speech in different scenarios are increasingly frequent on social platforms. In this context, there is a large number of works that propose solutions for identifying this type of content in these environments. Most efforts to automatically detect hate speec- doi
- 10.1145/3603163.3609158
- isbn
- 979-8-4007-0232-7
- name
- Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification
- source
- acm_url
- https://dl.acm.org/doi/10.1145/3603163.3609158
- authors
- Samuel Guimarães, Gabriel Kakizaki, Philipe Melo, Márcio Silva, Fabricio Murai, Julio C. S. Reis, Fabrício Benevenuto
- doi_url
- https://doi.org/10.1145/3603163.3609158
- license
- © Copyright held by the owner/author(s). Publication rights licensed to ACM.
- summary
- Manifestations of hate speech in different scenarios are increasingly frequent on social platforms. In this context, there is a large number of works that propose solutions for identifying this type of content in these environments. Most efforts to automatically detect hate speec
- published
- 2023-09-04
- conference
- HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
- open_access
- false
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3603163.3609158
- displayAuthor
- Samuel Guimarães, Gabriel Kakizaki, Philipe Melo, Márcio Silva, Fabricio Murai, Julio C. S. Reis, Fabrício Benevenuto
- displayPublishTime
- 2023-09-04
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