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Add German Adversarial Hate Speech Dataset to README (#100)
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jagol authored Apr 29, 2024
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* Medium: Text
* Reference: Mandl, T., Modha, S., Majumder, P., Patel, D., Dave, M., Mandlia, C. and Patel, A., 2019. Overview of the HASOC track at FIRE 2019. In: Proceedings of the 11th Forum for Information Retrieval Evaluation,.

#### GAHD: A German Adversarial Hate Speech Dataset
* Link to publication: [https://arxiv.org/abs/2403.19559](https://arxiv.org/abs/2403.19559)
* Link to data: [https://github.com/jagol/gahd](https://github.com/jagol/gahd)
* Task description: Binary hate speech detection ("hate speech", "not-hate speech")
* Details of task: Consists of adversarial and contrastive examples
* Size of dataset: 10,996 texts
* Percentage abusive: 42.4%
* Language: German
* Level of annotation: Post/Sentence
* Platform: Synthetic data and news sentences
* Medium: Text
* Reference: Goldzycher, J., Röttger, P., and Schneider, G., 2024. Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset. To appear in the Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico, Mexico City, June 17–19.

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#### Deep Learning for User Comment Moderation, Flagged Comments

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