C
Caustic News
Gives the probablility of a news article being fake upon getting a URL as input.
Created on 13th December 2020
•
C
Caustic News
Gives the probablility of a news article being fake upon getting a URL as input.
The problem Caustic News solves
This webapp gives the theorhetical probability of a news article being fake. This can help people make an educated descision for whether the news should or shouldn't be trusted.
Challenges we ran into
The dataset we were working with was quite small, which is why the application of this app is limited to articles similar to which it was trained. The model fails to capture the essence of all the articles on the web. We overcame this by using some NLP techniques to clean the data and reducing the variance.
We weren't able to properly deploy the backend on herokuapp.com so we also tried it on netlify.
Discussion
Builders also viewed
See more projects on Devfolio