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Measuring dynamic media bias

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...

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Detalles Bibliográficos
Autores principales: Kim, Eunji, Lelkes, Yphtach, McCrain, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371639/
https://www.ncbi.nlm.nih.gov/pubmed/35914125
http://dx.doi.org/10.1073/pnas.2202197119
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author Kim, Eunji
Lelkes, Yphtach
McCrain, Joshua
author_facet Kim, Eunji
Lelkes, Yphtach
McCrain, Joshua
author_sort Kim, Eunji
collection PubMed
description 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.
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spelling pubmed-93716392022-08-12 Measuring dynamic media bias Kim, Eunji Lelkes, Yphtach McCrain, Joshua Proc Natl Acad Sci U S A Social Sciences 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. National Academy of Sciences 2022-08-01 2022-08-09 /pmc/articles/PMC9371639/ /pubmed/35914125 http://dx.doi.org/10.1073/pnas.2202197119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Kim, Eunji
Lelkes, Yphtach
McCrain, Joshua
Measuring dynamic media bias
title Measuring dynamic media bias
title_full Measuring dynamic media bias
title_fullStr Measuring dynamic media bias
title_full_unstemmed Measuring dynamic media bias
title_short Measuring dynamic media bias
title_sort measuring dynamic media bias
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371639/
https://www.ncbi.nlm.nih.gov/pubmed/35914125
http://dx.doi.org/10.1073/pnas.2202197119
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