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Red Media vs. Blue Media: Social Distancing and Partisan News Media Use during the COVID-19 Pandemic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AXVNN83KL" target="_blank" >RIV/00216208:11320/23:XVNN83KL - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/full/10.1080/10410236.2023.2167584" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/10410236.2023.2167584</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/10410236.2023.2167584" target="_blank" >10.1080/10410236.2023.2167584</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Red Media vs. Blue Media: Social Distancing and Partisan News Media Use during the COVID-19 Pandemic

  • Original language description

    "We combine prior research on motivated reasoning, selective exposure, and news framing to understand the association between partisan media use and social distancing behavior related to COVID-19. To do so, we collected media content data and national survey data during the onset of the pandemic. We employed structural topic modeling (STM), dependency parsing, word co-occurrence, and manual coding to examine the media coverage."

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • 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

  • Name of the periodical

    "Health Communication"

  • ISSN

    1041-0236

  • e-ISSN

  • Volume of the periodical

    ""

  • Issue of the periodical within the volume

    2023

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    1-11

  • UT code for WoS article

  • EID of the result in the Scopus database