README.md

metadata

language:
  - en
tags:
  - hate-speech
  - counterspeech
  - irt
  - arxiv:2009.10277

Measuring Hate Speech

This is a public release of the dataset described in Kennedy et al. (2020).

Key dataset columns:

• hate_speech_score - continuous hate speech measure, where higher = more hateful and lower = less hateful
• text - lightly processed text of a social media post
• comment_id - unique ID for each comment
• annotator_id - unique ID for each annotator
• sentiment - ordinal label that is combined into the continuous score
• respect - ordinal label that is combined into the continuous score
• insult - ordinal label that is combined into the continuous score
• humiliate - ordinal label that is combined into the continuous score
• status - ordinal label that is combined into the continuous score
• dehumanize - ordinal label that is combined into the continuous score
• violence - ordinal label that is combined into the continuous score
• genocide - ordinal label that is combined into the continuous score
• attack_defend - ordinal label that is combined into the continuous score
• hatespeech - ordinal label that is combined into the continuous score
• annotator_severity - annotator's estimated survey interpretation bias

Citation

@article{kennedy2020constructing,
  title={Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application},
  author={Kennedy, Chris J and Bacon, Geoff and Sahn, Alexander and von Vacano, Claudia},
  journal={arXiv preprint arXiv:2009.10277},
  year={2020}
}

References

Kennedy, C. J., Bacon, G., Sahn, A., & von Vacano, C. (2020). Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application. arXiv preprint arXiv:2009.10277.