Mashed News

News source comparator that uses statistical learning to compute potential bias

My Role



For this project, my role was to focus on User Experience and part of the Front End portion of the webpage.

For this project, I not only worked on UX, but also wrote HTML and CSS to create a usable front end for the application.

The Problem Statement



Widespread use of the internet has presented individuals with an extremely large amount of resources with regards to news and news media. Many of the television based news programs have been replaced with an ever growing number of news websites and blogs that present both facts and opinions on different topics of interest.

In order to indicate biases and factual information to users, a news source comparator can be created. Upon completion of processing, users will be able to see similarities, differences, and potential biases and facts presented from various news sources. This system will allow individuals to become more informed on news information.

Sketching Ideas







Building a Prototype

A High Fidelity Model