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    Emotionale Sprache in Ciceros zweiter Philippika gegen Marc Anton

    Einführung in die emotionslinguistische Textanalyse und Kommentar

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    Author(s)
    Heuring, Ken
    Collection
    Knowledge Unlatched (KU)
    Number
    00c11200-4497-476c-910c-ce3dcae0f612
    Language
    German
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    Abstract
    In dieser Studie widmet sich Ken Heuring der zweiten Philippika Ciceros, einer leidenschaftlichen Schmährede gegen Marcus Antonius. Er war für kurze Zeit Nachfolger Julius Caesars, nachdem er 44 v. Chr. von Republikanern ermordet worden war. Als wichtige Gattung der antiken Rhetorik zeichnet sich die Invektive durch einen hohen Grad an Emotionalität aus: Die antike Rhetorik verstand Schimpfwörter, Übertreibungen, pathetische Ausrufe und diverse andere rhetorische Techniken als Mittel, um die Gefühle der Zuhörer im Sinne des Redners zu erregen. In seiner zweiten Philippika wendet Cicero das Wort als Waffe gegen seinen Gegner Marcus Antonius. Um der emotionsleitenden Tiefenstruktur der Rede auf die Spur zu kommen, führt Ken Heuring zunächst in die Grundbegriffe der Emotionslinguistik anhand vielfältiger Beispiele ein. Anschließend analysiert er die zahlreichen emotionalen Codes in Ciceros Meisterwerk. Diese Studie ergänzt und vertieft damit die klassische Analyse um eine elementare Kategorie.
    URI
    https://library.oapen.org/handle/20.500.12657/93734
    Keywords
    History; Ancient; Literary Criticism; Ancient & Classical; Literary Collections; Ancient & Classical
    DOI
    10.1628/978-3-16-163319-5
    ISBN
    9783161613654, 9783161633195
    Publisher
    Mohr Siebeck
    Publisher website
    https://www.mohrsiebeck.com/
    Publication date and place
    2024
    Grantor
    • Knowledge Unlatched
    Imprint
    Mohr Siebeck GmbH & Co. KG
    Classification
    Ancient history: to c 500 CE
    Literary studies: classical, early & medieval
    Classical texts
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • 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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