Information Theory, Algorithms, and Political Polarization, with Prof. Martin Hilbert

Martin Hilbert (martinhilbert.net/cv-bio), Professor of Communication at UC-Davis, discusses his research on algorithms and polarization. Prof. Hilbert introduces information theory and how it can be applied to studying the transfer of emotions via algorithms. We break down some of Prof. Hilbert's recent studies, as well as his current thinking around detaching from social algorithms.
The studies discussed in the episode:
Behavioral Experiments With Social Algorithms: An Information Theoretic Approach to Input-Output Conversions (google.com/search?client=firefox-b-d&q=Beh…)
Do Search Algorithms Endanger Democracy? An Experimental Investigation of Algorithm Effects on Political Polarization (tandfonline.com/doi/abs/10.1080/08838151.2020.…)
Communicating with Algorithms: A Transfer Entropy Analysis of Emotions-based Escapes from Online Echo Chambers (tandfonline.com/doi/abs/10.1080/19312458.2018.…)
Prof. Hilbert's seven part Medium series on Social Media Distancing (medium.com/@martinhilbert/social-media-distanc…).