Democratic Algorithms
Ethnography of a Public Recommender System

Download Url(s)
https://library.oapen.org/bitstream/20.500.12657/90776/1/978-3-95796-225-6-Poechhacker.pdfAuthor(s)
Poechhacker, Nikolaus
Language
EnglishAbstract
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; 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; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes::JPHV Political structures: democracy; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structuresDOI
10.14619/2249ISBN
9783957962249Publisher
meson pressPublisher website
www.meson.pressPublication date and place
2024Classification
Media studies: internet, digital media and society
Political structures: democracy
Algorithms and data structures

