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title: README |
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sdk_version: 5.35.0 |
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# fauxNeuz |
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**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. |
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## Focus Areas |
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- **Fake News Detection** (text + image) |
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- **Transformer Model Ensembles** |
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- **Explainable AI for Social Good** |
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- **Ethical AI & Bias Mitigation** |
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## 📦 Repositories |
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| Name | Type | Description | |
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|------|------|-------------| |
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| [`BertAndDeberta + ViT`](https://huggingface.co/fauxNeuz/BertAndDeberta) | Model | Transformer ensemble (BERT & DeBERTa + ViT) for fake news classification | |
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| [`fauxnews-training`](https://huggingface.co/fauxNeuz/BertAndDeberta/tree/main/Training%20Code) | Code | Codebase and notebooks used for training all fauxNeuz models | |
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<!-- ## Publications & Projects |
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> on the wrk |
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- **"Vision-Language Transformers for Fake Content Detection"**, 2025 (under review) |
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--> |
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⚠️ Disclaimer |
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This project is intended for educational and experimental purposes only. |
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It is not intended for commercial deployment, moderation in production environments, or critical decision-making. |
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Detection may not be 100% accurate. The model may produce false positives or false negatives |
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## Join or Collaborate |
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We’re open to research collaborations, reproducibility partnerships, and open-source contributions. Reach out through Hugging Face or GitHub if you’re interested. |
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## Maintainers |
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- [KaisexX](https://huggingface.co/kaisex) – Lead Researcher, ml :3 |
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- [SAP14](https://huggingface.co/14SAP) - Team Leader |
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- [Ganya1013](https://huggingface.co/Ganya1013) - Model Analyst,Research Contributor |
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- [Abhi-23](https://huggingface.co/Abhi-23) - Model Analyst,Research Contibutor |
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## ⚖ License |
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All models and code are released under the MIT license unless stated otherwise. |
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amen |