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        Democratic Algorithms

        Ethnography of a Public Recommender System

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        Author(s)
        Poechhacker, Nikolaus
        Language
        English
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        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.
        URI
        https://library.oapen.org/handle/20.500.12657/90776
        Keywords
        STS;algorithm studies;public broadcasting;recommender systems;media studies
        DOI
        10.14619/2249
        ISBN
        9783957962256, 9783957962249
        Publisher
        meson press
        Publisher website
        https://meson.press/
        Publication date and place
        2024
        Classification
        Media studies: internet, digital media and society
        Political structures: democracy
        Algorithms and data structures
        Pages
        217
        Rights
        https://creativecommons.org/licenses/by-sa/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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