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        Chapter Do user comments belong to journalistic articles? A brief visual history of user interaction on selected German and American news websites 1996–2024

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        Author(s)
        Paßmann, Johannes
        Schories, Martina
        Heinicker, Paul
        Language
        English
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        Abstract
        The chapter reconstructs a brief history of online commenting, based on the position comments have to journalistic articles on news websites. Its key assumption is derived from paratext theory: Changes in spatial and temporal proximity of texts in the periphery of a main text––such as comments on the same web page as a journalistic article as compared to posts in a separate forum––indicate controversies over relevance of participants in a public discourse. Studying transformations of online comments is thus considered an access point to studying histories of public spheres. With help of a software the authors and colleagues developed, changes in commenting sections are traced and visualized. These changes are detected in a data sample of archived web pages provided by the Internet Archive.
        URI
        https://library.oapen.org/handle/20.500.12657/96568
        Keywords
        commenting; web archive; paratext; news websites; user comments
        DOI
        10.36253/979-12-215-0413-2.20
        ISBN
        9791221504132, 9791221504132
        Publisher
        Firenze University Press
        Publisher website
        https://www.fupress.com/
        Publication date and place
        Florence, 2024
        Series
        Proceedings e report, 138
        Classification
        Library, archive and information management
        Bibliographic and subject control
        Archiving, preservation and digitization
        Rights
        https://creativecommons.org/licenses/by/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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