A thoughtful news aggregator built to help combat media bias and political polarization.
Built with Svelte, Tailwind CSS, Supabase, Python, and scikit-learn
Articles from different news sources across the political spectrum are aggregated and sorted by topic. Topics are summarized by key themes via tags.
Every article is tagged by its individual objectivity and the overall political leaning of its source, using data from AllSides.
News stories are automatically compiled from the topics trending that day in the Daily Scoop, providing an overview of the various topics.
Users can do a keyword search by article or by topic by starting their search with "#." Articles are kept within the context of their topic so users can also see similar articles from other news sources.
Users can view their individual media consumption statistics, including trends in news sites they frequent, article subjectivity, and article lean.
The website is designed for all screen sizes, including mobile.
This project is licensed under the MIT License - see the LICENSE file for details.
- 🖥️ Indira Mariya
- 🖥️ Sabrina Yen-Ko
- 🖊️ Kaitlyn Don
- 🎨 Laureline Troin