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    The Impact of Mass Media on Political Support

    A Preferences-Perceptions Model of Media Effects (Volume 1)

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    Author(s)
    Floß, Daniela
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    Why is citizens' support for political actors and institutions declining? Recent research suggests that voter cynicism is fueled by the manner in which mass media covers political events and issues. This dissertation provides evidence regarding the impact that media coverage of political decision-making procedures has on an audience's political support. It focuses on the role of individual expectations and preferences of the audience. Empirically-standardized online surveys, an experimental study, and a comprehensive content analysis of news coverage were conducted for this study. It shows that mass media may contribute to a decrease of political support by shaping the perception of political processes. In addition, the findings suggest that the media's impact on political support was particularly strong if media coverage shapes the impression that political processes do not match individual preferences. This book contributes to a differentiation of the rather general claim that negative or critical media information results in a decline of political support.
    URI
    https://library.oapen.org/handle/20.500.12657/46139
    Keywords
    Political Science; Reference
    DOI
    https://doi.org/10.5771/9783845225302
    ISBN
    9783845225302
    Publisher
    Nomos Verlagsgesellschaft mbH & Co. KG
    Publisher website
    https://www.nomos.de/
    Publication date and place
    2010
    Imprint
    Nomos Verlagsgesellschaft mbH & Co. KG
    Classification
    Politics and government
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • Harvested from KU

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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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