ozyverse/detecting_fake_news

TfidfVectorizer & PassiveAggressiveClassifier

25
/ 100
Experimental

This project helps journalists, fact-checkers, or social media analysts identify potentially fake news articles. You input news articles, and it tells you whether each one is classified as 'real' or 'fake'. This tool is designed for anyone needing to quickly assess the veracity of news content.

No commits in the last 6 months.

Use this if you need an automated way to flag news articles as potentially fake based on their text content.

Not ideal if you require explainability for why a news article was classified as fake, or if you need to detect subtle misinformation rather than outright hoaxes.

fact-checking journalism media-analysis content-moderation social-media-intelligence
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

How are scores calculated?

Stars

8

Forks

2

Language

Jupyter Notebook

License

Last pushed

Mar 03, 2022

Commits (30d)

0

Get this data via API

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

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