fausa/Bias_Detection_in_Journalism

A Natural Language Processing Project: Use NewsAPI to gather URL's of news articles, along with webscraping, gather news articles and generate a bias classifier to then run on news sources that are considered "centered" by AllSides Media to determine the validity of that classification.

27
/ 100
Experimental

This project helps news organizations maintain their reputation for unbiased reporting. It takes a continuous stream of news articles from your publication, analyzes their political lean using sophisticated text analysis, and provides a 'political lean' score. This score helps editorial teams understand the perceived bias of their content and ensure they remain politically centered.

No commits in the last 6 months.

Use this if you manage a news outlet that aims to provide politically neutral content and needs an objective way to monitor its editorial output for bias.

Not ideal if your publication has a clear political stance and you are not concerned with maintaining a 'centered' bias rating.

journalism media-ethics editorial-oversight news-analysis media-bias
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

Stars

11

Forks

3

Language

Jupyter Notebook

License

Last pushed

Jun 26, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/fausa/Bias_Detection_in_Journalism"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.