Datasets:

Languages:
English
Tags:
Not-For-All-Audiences
hate-speech
DOI:
License:

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Please be aware that this dataset contains hate speech. The ground truth labels are labeled according to whether the sample contains identity hate or individual hate. "1" represents hateful, "0" refers to not hateful.

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By sending us an access request, you MUST agree to the following terms and conditions:

  1. Uphold the privacy of users in this dataset by not attempting to re-identify them

  2. Not distribute the data to others

  3. In exchange for access to this dataset, you will properly cite the following papers when publishing using this dataset:

Vishwamitra, N., Guo, K., Farhan Tajwar, R., Ondracek, I., Cheng, L., Zhao, Z., & Hu, H. (2024, May). Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models. In 2024 IEEE Symposium on Security and Privacy (SP). IEEE.

Bibtex:

@inproceedings{vishwamitra2024moderating,
  title={ Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models},
  author={Vishwamitra, Nishant and Guo, Keyan and Romit, Farhan Tajwar and Ondracek, Isabelle and Cheng, Long and Zhao, Ziming and Hu, Hongxin},
  booktitle={2024 IEEE Symposium on Security and Privacy (SP)},
  year={2024},
  organization={IEEE}
}

If you have any questions regarding this dataset, please contact Dr. Nishant Vishwamitra, via email at [email protected].

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