no code implementations • 7 Mar 2024 • Nicholas Sukiennik, Chen Gao, Nian Li
We formalize our definition of a "deep" filter bubble within this context, and then explore various correlations within the data: first understanding the evolution of the deep filter bubble over time, and later revealing some of the factors that give rise to this phenomenon, such as specific categories, user demographics, and feedback type.