Measuring dynamic media bias.

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  • Author(s): Kim E;Kim E; Lelkes Y; Lelkes Y; McCrain J; McCrain J
  • Source:
    Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Aug 09; Vol. 119 (32), pp. e2202197119. Date of Electronic Publication: 2022 Aug 01.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
    • Publication Information:
      Original Publication: Washington, DC : National Academy of Sciences
    • Subject Terms:
    • Abstract:
      Ideological media bias is increasingly central to the study of politics. Yet, past literature often assumes that the ideological bias of any outlet, at least in the short term, is static and exogenous to the political process. We challenge this assumption. We use longitudinal data from the Stanford Cable News Analyzer (2010 to 2021), which reports the screen time of various political actors on cable news, and quantify the partisan leaning of those actors using their past campaign donation behavior. Using one instantiation of media bias-the mean ideology of political actors on a channel, i.e., visibility bias-we examine weekly, within-day, and program-level estimates of media bias. We find that media bias is highly dynamic even in the short term and that the heightened polarization between TV channels over time was mostly driven by the prime-time shows.
    • References:
      Proc Natl Acad Sci U S A. 2022 Aug 9;119(32):e2202197119. (PMID: 35914125)
    • Contributed Indexing:
      Keywords: media bias; news; political communication
    • Publication Date:
      Date Created: 20220801 Date Completed: 20220803 Latest Revision: 20220927
    • Publication Date:
      20240105
    • Accession Number:
      PMC9371639
    • Accession Number:
      10.1073/pnas.2202197119
    • Accession Number:
      35914125