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DeBERTa+ViT FakeNews
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fauxNeuz
fauxNeuz is a research-driven organization focused on developing intelligent and explainable machine learning solutions for detecting fake news on the internet. Our work combines state-of-the-art transformers, multimodal analysis, and human-centric evaluations to tackle misinformation in text and images.
Focus Areas
- Fake News Detection (text + image)
- Transformer Model Ensembles
- Explainable AI for Social Good
- Ethical AI & Bias Mitigation
📦 Repositories
| Name | Type | Description |
|---|---|---|
BertAndDeberta + ViT |
Model | Transformer ensemble (BERT & DeBERTa + ViT) for fake news classification |
fauxnews-training |
Code | Codebase and notebooks used for training all fauxNeuz models |
⚠️ Disclaimer
This project is intended for educational and experimental purposes only.
It is not intended for commercial deployment, moderation in production environments, or critical decision-making.
Detection may not be 100% accurate. The model may produce false positives or false negatives
Join or Collaborate
We’re open to research collaborations, reproducibility partnerships, and open-source contributions. Reach out through Hugging Face or GitHub if you’re interested.
Maintainers
- KaisexX – Lead Researcher, ml :3
- SAP14 - Team Leader
- Ganya1013 - Model Analyst,Research Contributor
- Abhi-23 - Model Analyst,Research Contibutor
⚖ License
All models and code are released under the MIT license unless stated otherwise.
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