Misinformation isn't new, but it's never been this fast, this personalized, or this hard to escape. In this episode of Social Sleuth, we talk with Matthew Facciani, a social scientist at the University of Notre Dame whose research focuses on information systems, media literacy, and how people interact with AI.
Matthew brings a rare thing to this conversation: not just analysis of the problem, but actual solutions. We get into social identity complexity as a tool for reducing susceptibility to misinformation, why content warnings are largely 'too little too late', and how political polarization and media literacy are more connected than most people realize.
If you've ever wondered why smart people believe false things, and what you can actually do about it, this one's for you.
Topics: misinformation, disinformation, media literacy, fake news, social media, political polarization, AI and information, digital literacy, information systems
