|
|
| --- |
| extra_gated_prompt: "You agree to not use the dataset to conduct experiments that cause harm to human subjects." |
| extra_gated_fields: |
| Company: text |
| Country: country |
| Specific date: date_picker |
| I want to use this dataset for: |
| type: select |
| options: |
| - Research |
| - Education |
| - label: Other |
| value: other |
| I agree to use this dataset for non-commercial use ONLY: checkbox |
| --- |
| |
| # Dataset Card for Stormfront & Incels Raw Text |
|
|
| ## Dataset Summary |
|
|
| This dataset contains raw, unannotated textual posts from two online extremist platforms: **Stormfront** (white supremacist) and **Incels.is** (misogynistic). Each post is provided as a single line of text in `.txt` files, with **no metadata**. |
|
|
| This simplified format supports unsupervised tasks such as **domain adaptation**, **masked language modeling**, and **linguistic analysis** of extremist cryptolects. The dataset was used in: |
|
|
| > [IYKYK: Using language models to decode extremist cryptolects](https://arxiv.org/abs/2506.05635) |
| > (de Kock et al., 2025) |
|
|
| ## Files |
|
|
| - `stormfront.txt`: ~9 million posts, one per line |
| - `incels.txt`: ~9 million posts, one per line |
|
|
| All posts are in **English**, with minor traces of French, German, and Spanish. |
|
|
|
|
|
|
| --- |
|
|
| ## Format |
|
|
| - Text-only `.txt` files |
| - One post per line |
|
|
| --- |
|
|
| ## Ethical Considerations |
|
|
| This dataset was curated under strict ethical review. Due to the sensitive nature of the content: |
|
|
| - All posts are from **public, anonymous forums** |
| - Access is **restricted to verified academic and policy researchers** |
| - Researchers should consider the psychological toll of repeated exposure to extremist content |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ```bibtex |
| @misc{dekock2025iykykusinglanguagemodels, |
| title={IYKYK: Using language models to decode extremist cryptolects}, |
| author={Christine de Kock and Arij Riabi and Zeerak Talat and Michael Sejr Schlichtkrull and Pranava Madhyastha and Eduard Hovy}, |
| year={2025}, |
| eprint={2506.05635}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2506.05635} |
| } |
| |
| |
| |
| |
| |
| |
