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    Partisan Rhetoric and Polarization

    The Year in C-SPAN Archives Research, Volume 10

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    Author(s)
    Browning, Robert X.
    Language
    English
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    Abstract
    Partisan Rhetoric and Polarization: The Year in C-SPAN Archives Research, Volume 10 features chapters written from a variety of perspectives that address divisions in American politics. The topics range widely, including TikTok, abortion, the middle class, the January 6 riot, and partisan rhetoric in Congress. The unifying theme of the volume is that each author uses C-SPAN videos to examine how members of Congress and other elites speak and act on these issues. Two other thoughtful pieces examine Supreme Court justices speaking off the bench and emotional reactions in presidential debates. Partisan Rhetoric and Polarization provides context to understand how the partisan split in American politics is reflected and evidenced in even the highest political institutions: Congress, the presidency, and the Supreme Court.
    URI
    https://library.oapen.org/handle/20.500.12657/96027
    Keywords
    political communication; American politics; video analysis; rhetorical analysis; political rhetoric; Congress; Congressional behavior; presidential debates; measure of emotions in debate; Congressional rhetoric on social media; TikTok and Congress; Supreme Court justices rhetoric; party and income; Congress and abortion policy
    ISBN
    9781612499871, 9781612499864, 9781612499857, 9781612499840, 9781612499871, 9781612499864
    Publisher
    Purdue University Press
    Publisher website
    http://www.thepress.purdue.edu/
    Publication date and place
    West Lafayette, 2024
    Imprint
    Purdue University Press
    Classification
    Political structure and processes
    Pages
    268
    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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