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    Affective Transformations

    Politics – Algorithms – Media

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    Contributor(s)
    Bösel, Bernd (editor)
    Wiemer, Serjoscha (editor)
    Collection
    ScholarLed
    Language
    English
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    Abstract
    The Affective Turn has lost its former innocence and euphoria. Affect Studies and its adjacent disciplines have now to prove that they can cope with the return of the affective real that technology, economy, and politics entail. Two seemingly contradictory developments serve as starting points for this volume. First, technological innovations such as affective computing, mood tracking, sentiment analysis, and social robotics all share a focus on the recognition and modulation of human affectivity. Affect gets measured, calculated, controlled. Secondly, recent developments in politics, social media usage, and right-wing journalism have contributed to a conspicuous rise of hate speech, cybermobbing, public shaming, “felt truths,” and resentful populisms. In a very specific way, politics as well as power have become affective. Affect gets mobilized, fomented, unleashed. When the ways we deal with our affectivity get unsettled in such a dramatic fashion, we have to rethink our ethical, aesthetical, political as well as legal regimes of affect organization.
    URI
    https://library.oapen.org/handle/20.500.12657/50000
    Keywords
    Nonbooks, PBS / Medien, Kommunikation/Medienwissenschaft; Medienwissenschaften: Internet, digitale Medien und Gesellschaft; Psychologie; Algorithmen; Medien; Politik; Ästhetik; Demokratie; Social Media; Affekt; Populismus; Emotion; Philosophie; Politikwissenschaft; Politisches System: Demokratie; Wissenschaft, Technologie und Gesellschaft; Psychologie: Emotionen
    DOI
    10.14619/1655
    ISBN
    9783957961662, 9783957961655, 9783957961662
    Publisher
    meson press
    Publisher website
    https://meson.press/
    Publication date and place
    2020
    Classification
    Media studies
    Pages
    243
    Rights
    https://creativecommons.org/licenses/by-sa/4.0/
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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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