Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1784767199669387264 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9371639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kimeunji measuringdynamicmediabias AT lelkesyphtach measuringdynamicmediabias AT mccrainjoshua measuringdynamicmediabias |