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New Methodological Perspectives in Political Communication Research: Machine Learning and Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3APJQXPMRI" target="_blank" >RIV/00216208:11320/23:PJQXPMRI - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/10.1007/978-3-031-33716-1_2" target="_blank" >https://link.springer.com/10.1007/978-3-031-33716-1_2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-33716-1_2" target="_blank" >10.1007/978-3-031-33716-1_2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    New Methodological Perspectives in Political Communication Research: Machine Learning and Algorithms

  • Original language description

    "Political communication has seen a rise in the use of algorithms and machine learning techniques. Scholars show that these techniques can be used to study new communication routines essential to understanding sophisticated political processes."

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    "Digital Communication and Populism in Times of Covid-19"

  • ISBN

    978-3-031-33715-4

  • Number of pages of the result

    16

  • Pages from-to

    13-28

  • Number of pages of the book

    262

  • Publisher name

    Springer Nature Switzerland

  • Place of publication

    Cham

  • UT code for WoS chapter