metadata
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
(de Kock et al., 2025)
Files
stormfront.txt: ~9 million posts, one per lineincels.txt: ~9 million posts, one per line
All posts are in English, with minor traces of French, German, and Spanish.
Format
- Text-only
.txtfiles - 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:
@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}
}