metadata

license: cc-by-nc-sa-4.0
task_categories:
  - text-classification
language:
  - tr
tags:
  - hate speech
  - hate speech detection
  - hate-speech
  - tweets
  - social media
  - topic
  - hate-speech-detection
  - gender identity
  - gender

The "gender identity" subset of the large-scale dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer".

This subset is also used in the experiments of "Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signal, Image and Video Processing, 17(4), 1591-1597."

The "gender identity" subset includes 20,000 tweets in Turkish.

The published data split is the first fold of 10-fold cross-validation, used in the experiments mentioned above.

Train split has 18,000 tweets. Test split has 2,000 tweets.

HateLabel:

0 Normal
1 Offensive
2 Hate

GitHub Repo:

https://github.com/avaapm/hatespeech

If you use this dataset, please cite the following papers:

Toraman, C., Şahinuç, F., & Yilmaz, E. (2022, June). Large-Scale Hate Speech Detection with Cross-Domain Transfer. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 2215-2225).
Şahinuç, F., Yilmaz, E. H., Toraman, C., & Koç, A. (2023). The effect of gender bias on hate speech detection. Signal, Image and Video Processing, 17(4), 1591-1597.