metadata

tags:
  - hate-speech
  - counterspeech
  - irt
  - arxiv:2009.10277
annotations_creators:
  - crowdsourced
languages:
  - en-US
licenses: []
multilinguality:
  - monolingual
pretty_name: measuring-hate-speech
source_datasets:
  - original
task_categories:
  - text-classification
  - text-regression
task_ids:
  - hate-speech
  - counterspeech
  - sentiment-classification

Dataset card for Measuring Hate Speech

This is a public release of the dataset described in Kennedy et al. (2020). The dataset contains one row for each comment that an annotator reviews; each comment is rated multiple times. The primary outcome variable is the "hate speech score" but the 10 constituent labels can also be treated as outcomes.

This dataset card is a work in progress and will be improved over time.

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}
}

Contributions

Dataset curated by @ck37, @pssachdeva, et al.

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.