The rise of social media and the growing scale of online information have led to a surge of intentional disinformation and incidental misinformation. It is increasingly difficult to tell fact from fiction, and the challenge is more complex than simply differentiating “fake news” from simple facts. This project uses qualitative methods and machine learning models to understand how digital disinformation arises and spreads, how it affects different groups in society, and how to design effective human-centered interventions.
Team Members
School of Information
Project Lead
School of Journalism and Media
Project Co-Lead
Information, Risk and Operations Management
Computer Science
School of Information
Linguistics
School of Journalism and Media