UT TrustLab is an extensible, user-friendly, and interactive web application that provides users with trustworthy sources of information in a world full of misinformation. More specifically, we aim to provide users the ability to filter through Twitter accounts and see collected trust filter data for these accounts; this collection is out-of-scope for our project, but the data consists of a set of filters that determine the overall trustworthiness of an account. The application is organized into four pages: topics, sources, home, and about. Throughout the application, UT TrustLab incorporated a multitude of graphs, tables, and descriptions to display the data. These visualizations are all extendable upon the creation and implementation of additional filters. Users can view trust filter data for specific topics, which can help determine which source is most trustable, and for specific sources, which helps compare user-specified sources. The application currently uses React JS and is extensible, user-friendly, and interactive.

Team Members

Angel Khushi Patel
Ashwin Purohit
Karan Rathore
Maneeza Kalim
Mitali Khoje