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---
title: README
emoji: πŸš€
colorFrom: pink
colorTo: blue
sdk: static
pinned: false
---
**Name of the Project: News and Social Media Biases**
**Project Lead: Shaina Raza**
**Team Members: Nifemi Bamgbose Mizanur Rahman, Shardul Ghuge, Farnaz Kohankhaki, Drai Paulen-Patterson, Yan Sidyakin, Veronica Chatrath**
**Location**: Canada
**Type of Project**: (Research Project / Application Development / Non-Profit Initiative)
**Established**: 2023
**Mission**: To detect and debias media biases using advanced NLP techniques
**Hugging Face Tools Used**:
- **Transformers Library**: To use pre-trained models like BERT, RoBERTa, Llama2 etc., for bias detection.
- **Datasets Library**: A collection of NLP datasets that can be useful in understanding and detecting biases in different media outlets.
- **Inference API**: For deploying the bias detection models in real-world applications.
**See package** https://pypi.org/project/UnBIAS/
**Contact Information**: [email protected]
## References
If you use our work, please cite this page:
```bibtex
@misc{raza2023newsmediabias,
Author = {Shaina Raza},
title = {News Media Bias},
year = {2023},
url = {https://huggingface.co/newsmediabias},
}
```