Datasets:
File size: 2,577 Bytes
969d0dc 03f2c00 fad9c74 03f2c00 fad9c74 03f2c00 969d0dc 39f319d bc4929e 997475e bc4929e 39f319d 997475e bc4929e 39f319d bc4929e 969d0dc bc4929e 39f319d bc4929e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
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](https://github.com/ck37), [@pssachdeva](https://github.com/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](https://arxiv.org/abs/2009.10277). arXiv preprint arXiv:2009.10277.
|