Podcast: Social Media and Politics (LS 36 · TOP 3% what is this?)
Episode: Information Theory, Algorithms, and Political Polarization, with Prof. Martin Hilbert
Pub date: 2021-02-07

Notes from Demos Helsinki Podcast:

Explaining how information theory can inform our understanding of algorithms, from studying the transfer of emotions to developing a more mature mental relationship to the technologies shaping our life

Martin Hilbert, 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

Do Search Algorithms Endanger Democracy? An Experimental Investigation of Algorithm Effects on Political Polarization

Communicating with Algorithms: A Transfer Entropy Analysis of Emotions-based Escapes from Online Echo Chambers

Prof. Hilbert's seven part Medium series on Social Media Distancing.

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