Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
| 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 | |
| # 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. | |
| ## 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](https://arxiv.org/abs/2009.10277). arXiv preprint arXiv:2009.10277. | |