---
title: README
emoji: 🚀
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**: shaina.raza@torontomu.ca


## 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},
}
```