Faculty Sponsor
David Kimball
Final Abstract for URS Program
This research project delves into the contemporary phenomenon of political polarization exacerbated by artificial intelligence (AI) algorithms in online content consumption using scholarly articles and survey data. The research investigates how AI-driven recommendation systems influence the selection and exposure to politically charged content across various digital platforms. The findings of this study are intended for a deeper understanding of the societal implications of AI algorithms and provide insights into potential strategies for mitigating political polarization in online environments.
Presentation Type
Visual Presentation
Document Type
Article
Publication Date
April 2023
Included in
Cognitive Science Commons, Communication Commons, Digital Humanities Commons, Marketing Commons