News Re-framed

News Re-Framed is an interactive web platform that interrogates the malleability of meaning in contemporary news media. Grounded in the understanding that digital information is not static content but is actively shaped by its container, the project positions news consumption as a dynamic visual system rather than a passive intake of facts.

Utilizing data from diametrically opposed sources—Fox News and The New York Times—the work deconstructs the "framing" of current events through four distinct visual criteria. The system leverages custom AI algorithms to harvest and categorize this vast dataset, generating real-time scores for political stance and user engagement, while extracting dominant keywords from reader comments.

These variables serve as the engine for a fully adaptive user experience, dynamically reshaping the entire interface structure. By allowing users to manipulate these algorithmic parameters in real-time, the website reveals the hidden mechanics of editorial influence, transforming the screen into an open system where the reader actively reconstructs the narrative.