manueltonneau/indonesian-hate-speech-superset

Arabic Hate Speech Superset

This dataset is a superset (N=14,306) resulting from the preprocessing and merge of all available Indonesian hate speech datasets in April 2024. These datasets were identified through a systematic survey of hate speech datasets conducted in early 2024. We only kept datasets that:

• are documented
• are publicly available
• focus on hate speech, defined broadly as "any kind of communication in speech, writing or behavior, that attacks or uses pejorative or discriminatory language with reference to a person or a group on the basis of who they are, in other words, based on their religion, ethnicity, nationality, race, color, descent, gender or other identity factor" (UN, 2019)

The survey procedure is further detailed in our survey paper.

Columns

The dataset contains six columns:

• text: the annotated post
• labels: annotation of whether the post is hateful (== 1) or not (==0). As datasets have different annotation schemes, we systematically binarized the labels.
• source: origin of the data (e.g., Twitter)
• dataset: dataset the data is from (see "Datasets" part below)
• nb_annotators: number of annotators by post

Datasets

The datasets that compose this superset are:

• Hate Speech Detection in Indonesian Language: A Dataset and Preliminary Study (IDHSD in the dataset column)
  • paper link
  • raw data link
• Multi-Label Hate Speech and Abusive Language Detection in Indonesian Twitter (ID_multilabel in the dataset column)
  • paper link
  • raw data link
• Hate Speech Detection on Indonesian Instagram Comments using FastText Approach (ID_instagram)
  • paper link
  • raw data link

Preprocessing

We drop duplicates. In case of non-binary labels, the labels are binarized (hate speech or not). We replace all usernames and links by fixed tokens to maximize user privacy. Further details on preprocessing can be found in the preprocessing code here.

Citation

Please cite our survey paper if you use this dataset.

@article{tonneau2024languages,
  title={From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets},
  author={Tonneau, Manuel and Liu, Diyi and Fraiberger, Samuel and Schroeder, Ralph and Hale, Scott A and R{\"o}ttger, Paul},
  journal={arXiv preprint arXiv:2404.17874},
  year={2024}
}