Studies have shown that people on opposing sides of political issues use fundamentally different language to discuss their views. One of the effects of this is that people living in News Filter Bubbles can immediately notice and then discard stories that use the terms associated with their opposition.
In this project, we will look at how terms from within one bubble can be identified, extracted and then applied to stories from outside that bubble. The resulting stories could then be crafted to use those terms to make the stories readable to those readers who would never be inclined to look at them at all.
Results from the project
Faculty and Staff Leads
Professor of Electrical Engineering and Computer Science
Prior to joining the faculty at Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content and context-driven information systems. Kris currently sits on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). He received his PhD from Yale.