Seminar: Information Dynamics: Observation, Identification, and Response

 

Thursday February 2, 2023 | 10:30 am

Patrick F. Taylor Hall | Room 1212 

Trenton W. Ford

Ph.D. Candidate in Computer Science, University of Notre Dame

Abstract –

Information diffusion dynamics have accelerated, and the sociological effects are visible. Viral TikTok trends, funny memes, misinformation, and even online extremism owe much of their recent increases to our changing information landscape. In my research and this talk, we explore ways information dynamics have changed, how we can investigate those dynamics using machine learning, and how we can use what we learn to mitigate potential harm.  

Bio –

Trenton W. Ford is a Ph.D. Candidate in Computer Science at the University of Notre Dame. His research focuses identifying trends in online media. Specifically, Trenton’s work has involved investigating meme evolution, detecting misinformation, exploring consistency in news articles, and predicting language usage in online communities.