News Media Biases

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@utoronto.ca

References

If you use our work, please cite this page:

@misc{raza2023newsmediabias,
  Author     = {Shaina Raza},
  title     = {News Media Bias},
  year      = {2023},
  url       = {https://huggingface.co/newsmediabias},
}