Inspector, the chrome extension, can be split into 3 parts: machine learning models, client-side software, and backend software.

For the ML models, we used CNN, BiLSTM, and BERT models - more details are listed in the tabs. The technologies used to create the backend were Javascript and Python and the frontend of the extension was created with HTML.

The goal of the extension is to take any news article on the web, run our models, and provide supplemental references articles. The supplemental articles will either disagree with the headline, agree with the headline, or discuss the headline topic without taking a stance,