Name:
CommPass
Description:
News article similarity visualization tool
Professor — Lab:
Karl AbererDistributed Information Systems Laboratory

Home page:
CommPass
Layman description:
This tool visualizes how similar or different news articles about the same event are from multiple perspectives. It can show if articles have a positive or negative stance on the topic. This helps users understand if they are caught in a filter bubble and exposes them to diverse viewpoints. It also assists journalists in positioning their articles among others covering the same story.
Technical description:
The project aims to visualize semantic similarity and polarity of news articles covering a given media event. It extends the NewsTeller platform which processes over 1.5 million news articles per month. The goal is to provide intuitive visualization tools to explore the media landscape and enhance the NewsTeller platform.
Project status:
unknown — entered showcase: 2024-03-19 — entry updated: 2024-03-19

Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Application