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    The Propagation of Misinformation in Social Media

    A Cross-platform Analysis

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    Contributor(s)
    Rogers, Richard (editor)
    Language
    English
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    Abstract
    There is growing awareness about how social media circulate extreme viewpoints and turn up the temperature of public debate. Posts that exhibit agitation garner disproportionate engagement. Within this clamour, fringe sources and viewpoints are mainstreaming, and mainstream media are marginalized. This book takes up the mainstreaming of the fringe and the marginalization of the mainstream. In a cross-platform analysis of Google Web Search, Facebook, YouTube, Reddit, Twitter, Instagram, 4chan and TikTok, we found that hyperpartisan web operators, alternative influencers and ambivalent commentators are in ascendency. The book can be read as a form of platform criticism. It puts on display the current state of information online, noting how social media platforms have taken on the mantle of accidental authorities, privileging their own on-platform performers and at the same time adjudicating between claims of what is considered acceptable discourse.
    URI
    https://library.oapen.org/handle/20.500.12657/61940
    Keywords
    Misinformation, digital methods, data journalism, social media platforms
    DOI
    10.5117/9789463720762
    ISBN
    9789463720762, 9789048554249
    Publisher
    Amsterdam University Press
    Publisher website
    https://www.aup.nl/
    Publication date and place
    Amsterdam, 2023
    Classification
    Social media / social networking
    News media and journalism
    Media studies
    Pages
    246
    Public remark
    The publication of this book is made possible by grants from First Draft and SoBigData++ which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nr. 871042
    Rights
    https://creativecommons.org/licenses/by-nc-nd/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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