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--- |
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tags: |
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- hate-speech |
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- counterspeech |
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- irt |
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- arxiv:2009.10277 |
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annotations_creators: |
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- crowdsourced |
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languages: |
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- en-US |
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licenses: [] |
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multilinguality: |
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- monolingual |
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pretty_name: measuring-hate-speech |
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source_datasets: |
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- original |
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task_categories: |
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- text-classification |
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- text-regression |
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task_ids: |
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- hate-speech |
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- counterspeech |
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- sentiment-classification |
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--- |
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# Measuring Hate Speech |
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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. |
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## Key dataset columns |
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* hate\_speech\_score - continuous hate speech measure, where higher = more hateful and lower = less hateful |
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* text - lightly processed text of a social media post |
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* comment\_id - unique ID for each comment |
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* annotator\_id - unique ID for each annotator |
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* sentiment - ordinal label that is combined into the continuous score |
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* respect - ordinal label that is combined into the continuous score |
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* insult - ordinal label that is combined into the continuous score |
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* humiliate - ordinal label that is combined into the continuous score |
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* status - ordinal label that is combined into the continuous score |
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* dehumanize - ordinal label that is combined into the continuous score |
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* violence - ordinal label that is combined into the continuous score |
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* genocide - ordinal label that is combined into the continuous score |
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* attack\_defend - ordinal label that is combined into the continuous score |
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* hatespeech - ordinal label that is combined into the continuous score |
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* annotator_severity - annotator's estimated survey interpretation bias |
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## Citation |
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``` |
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@article{kennedy2020constructing, |
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title={Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application}, |
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author={Kennedy, Chris J and Bacon, Geoff and Sahn, Alexander and von Vacano, Claudia}, |
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journal={arXiv preprint arXiv:2009.10277}, |
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year={2020} |
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} |
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``` |
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## References |
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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](https://arxiv.org/abs/2009.10277). arXiv preprint arXiv:2009.10277. |
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