mrfelpa / fake_news_detection

Access the validity of websites for information and to evaluate sources for misleading information using ML models

Fake News Detector

This project was made in order to access the validity of websites for information and to evaluate sources for misleading information. Two different models were created to determine the probability of a website being fake:

1. Logistic Regression (logistic_regression.ipynb)
2. Recurrent Neural Network (recurrent_neural_network.py)