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Democratic Algorithms. Ethnography of a Public Recommender System

Ethnography of a Public Recommender System
Authors: Poechhacker, Nikolaus;

Democratic Algorithms. Ethnography of a Public Recommender System

Abstract

Can an algorithm be democratic? And how can we understand algorithms not only as technical, but also as social and political phenomena? Democratic Algorithms offers theoretically and empirically informed perspectives on how we can imagine and design algorithms for a democratic society, and what we even mean by that. Based on ethnographic fieldwork, the book illustrates how a recommender system was built in a public broadcaster, raising questions not only about organizational and technical implementation, but also about the possible compatibility of such an algorithmic system with democratic constitutions.

Keywords

STS;algorithm studies;public broadcasting;recommender systems;media studies, Algorithm, Ethnography, Recommender Systems, thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies::JBCT1 Media studies: internet, digital media and society, Society, thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes::JPHV Political structures: democracy, Democracy, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures, 300

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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