The SMAD team studied patterns of polarized expression on social media and found that it could be categorized into three groups that not only explain existing concepts about polarization but speak to the deep partisan divide.
HITS used supervised machine learning to understand how communication styles relate to writers’ substance use and well-being outcomes.
The Health Information Technology Studies group examined the use and utility of an mHealth app designed to support people living with HIV and SUD.
The Health Information Technology Studies group tested the impact of combining addiction medications with smartphone intervention technology.
A new UW-Madison report has found that 27% of Wisconsin Republicans and 14% of Wisconsin Democrats reside in partisan bubbles, where they do not regularly hear opposing perspectives in news or political conversations.
A new report from the Center for Communication and Civic Renewal found deep fractures in Wisconsin political life as well as political common ground and opportunities for civic renewal.