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        Algorithmic Authenticity

        An Overview

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        Author(s)
        Bounegru, Liliana
        Devries, Melody
        Harris, Amy
        holtzclaw, hannah
        Jucan, Ioana B.
        Juhasz, Alexandra
        Kamish, D.W.
        Langlois, Ganaele
        Proctor, Jasmine
        Tomlinson, Christine
        Vasudevan, Roopa
        Weltevrede, Esther
        Burton, Anthony
        Language
        English
        Show full item record
        Abstract
        What makes information feel true or compelling in our contemporary digital societies? This book brings together different disciplinary understandings of “authenticity” in order to find alternative ways to approach mis- and disinformation that go beyond contemporary fact-checking and its search for the “authentic” truth. Patterned under the algorithmic flows of digital capitalism, authenticity itself is subject to variation, iteration, and outside influence. Linking cross-disciplinary research on the history and practices of algorithmic authenticity points to new research questions to understand the impact of algorithmic authenticity on social life and its role in contemporary information disorder.
        URI
        https://library.oapen.org/handle/20.500.12657/88718
        Keywords
        information disorder; algorithms; authentication; race; digital capitalism; fact-checking; digital society; politics; misinformation; gender; performance; relationality; truth
        DOI
        10.14619/2102
        ISBN
        9783957962119, 9783957962119, 9783957962102
        Publisher
        meson press
        Publisher website
        https://meson.press/
        Publication date and place
        Lüneburg, 2023
        Imprint
        meson press
        Classification
        Media studies
        Feminism & feminist theory
        Politics & government
        Media, information & communication industries
        Pages
        138
        Rights
        https://creativecommons.org/licenses/by-sa/4.0/
        • Imported or submitted locally

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        License

        • 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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