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dc.contributor.authorPoechhacker, Nikolaus
dc.date.accessioned2024-06-04T14:16:10Z
dc.date.available2024-06-04T14:16:10Z
dc.date.issued2024
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/90776
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.en_US
dc.languageEnglishen_US
dc.subject.classificationthema 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 societyen_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes::JPHV Political structures: democracyen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structuresen_US
dc.subject.otherSTS;algorithm studies;public broadcasting;recommender systems;media studiesen_US
dc.titleDemocratic Algorithmsen_US
dc.title.alternativeEthnography of a Public Recommender Systemen_US
dc.typebook
oapen.identifier.doi10.14619/2249en_US
oapen.relation.isPublishedBy4d4a8ec1-ecfe-4e5c-bc76-d4ece9897968en_US
oapen.relation.isbn9783957962249en_US
oapen.pages217en_US


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