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dc.contributor.authorPoechhacker, Nikolaus
dc.date.accessioned2025-03-07T18:30:42Z
dc.date.available2025-03-07T18:30:42Z
dc.date.issued2024
dc.date.submitted2024-06-04T14:16:10Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/90776
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/162065
dc.description.abstractCan 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.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherSTS;algorithm studies;public broadcasting;recommender systems;media studies
dc.subject.otherthema 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
dc.subject.otherthema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes::JPHV Political structures: democracy
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
dc.titleDemocratic Algorithms
dc.title.alternativeEthnography of a Public Recommender System
dc.typebook
oapen.identifier.doi10.14619/2249
oapen.relation.isPublishedByac472089-6d55-48f6-b3d5-e22eef42c7db
oapen.relation.isbn9783957962249
oapen.pages217


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