- https://github.com/LaCAfe/Dataset-Hatespeech (Utiliza a classe has_anger, ou seja, discurso ofensivo)
- https://github.com/rogersdepelle/OffComBR (Dataset de discurso de ódio desbalanceado)
- https://github.com/JAugusto97/ToLD-Br (Dataset de discurso de ódio separado por diversas classes)
- https://github.com/francielleavargas/HateBR ( )
- https://github.com/paulafortuna/Portuguese-Hate-Speech-Dataset ( )
- A Classifier Ensemble for Offensive Text Detection (https://dl.acm.org/doi/10.1145/3243082.3243111)
- Detecção automática de discurso de ódio em comentários online (https://sol.sbc.org.br/index.php/ercas/article/view/9052/8954)
- Contextual-Lexicon Approach for Abusive Language Detection (https://sites.icmc.usp.br/taspardo/RANLP2021-VargasEtAl.pdf)
- A Semi-Supervised Approach to Detect Toxic Comments (https://aclanthology.org/2021.ranlp-1.142/)
- Deep Learning Models for Multilingual Hate Speech Detection (https://arxiv.org/pdf/2004.06465.pdf)
- HABERTOR: An Efficient and Effective Deep Hatespeech Detector (https://aclanthology.org/2020.emnlp-main.606.pdf): não achei código nem modelo pre-treinado
https://dnozza.github.io/project/hate_speech_misogyny_detection/