Anatomy of Hate Speech Datasets-Reference-Cited by-同舟云学术

Anatomy of Hate Speech Datasets

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 34th ACM Conference on Hypertext and Social Media
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Author:

Guimarães Samuel¹^ORCID,Kakizaki Gabriel²^ORCID,Melo Philipe³^ORCID,Silva Márcio⁴^ORCID,Murai Fabricio⁵^ORCID,Reis Julio C. S.²^ORCID,Benevenuto Fabrício¹^ORCID

Affiliation:

1. Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

2. Universidade Federal de Viçosa, Viçosa, Brazil

3. Universidade Federal de Viçosa, Florestal, Brazil

4. Universidade Federal de Mato, Grossso do Sul, Mato Grosso do Sul, Brazil

5. Worcester Polytechnic Institute, Worcester, USA

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603163.3609158

Reference59 articles.

1. CJ Adams and Lucas Dixon. 2017. Better discussions with imperfect models -- The False Positive -- Medium. https://medium.com/the-false-positive/better-discussions-with-imperfect-models-91558235d442. (Accessed on 05/23/2018). CJ Adams and Lucas Dixon. 2017. Better discussions with imperfect models -- The False Positive -- Medium. https://medium.com/the-false-positive/better-discussions-with-imperfect-models-91558235d442. (Accessed on 05/23/2018).

2. A Literature Review of Textual Hate Speech Detection Methods and Datasets

3. An Approach for Radicalization Detection Based on Emotion Signals and Semantic Similarity

4. Deep Learning for Hate Speech Detection in Tweets

5. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

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