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

Social Media and Politics

Michael Bossetta에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Michael Bossetta 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

3y ago 42:04

MP3•에피소드 홈

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.

173 에피소드