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Quantifying partisan news diets in Web and TV audiences
Partisan segregation within the news audience buffers many Americans from countervailing political views, posing a risk to democracy. Empirical studies of the online media ecosystem suggest that only a small minority of Americans, driven by a mix of demand and algorithms, are siloed according to the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278856/ https://www.ncbi.nlm.nih.gov/pubmed/35857498 http://dx.doi.org/10.1126/sciadv.abn0083 |
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author | Muise, Daniel Hosseinmardi, Homa Howland, Baird Mobius, Markus Rothschild, David Watts, Duncan J. |
author_facet | Muise, Daniel Hosseinmardi, Homa Howland, Baird Mobius, Markus Rothschild, David Watts, Duncan J. |
author_sort | Muise, Daniel |
collection | PubMed |
description | Partisan segregation within the news audience buffers many Americans from countervailing political views, posing a risk to democracy. Empirical studies of the online media ecosystem suggest that only a small minority of Americans, driven by a mix of demand and algorithms, are siloed according to their political ideology. However, such research omits the comparatively larger television audience and often ignores temporal dynamics underlying news consumption. By analyzing billions of browsing and viewing events between 2016 and 2019, with a novel framework for measuring partisan audiences, we first estimate that 17% of Americans are partisan-segregated through television versus roughly 4% online. Second, television news consumers are several times more likely to maintain their partisan news diets month-over-month. Third, TV viewers’ news diets are far more concentrated on preferred sources. Last, partisan news channels’ audiences are growing even as the TV news audience is shrinking. Our results suggest that television is the top driver of partisan audience segregation among Americans. |
format | Online Article Text |
id | pubmed-9278856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92788562022-07-29 Quantifying partisan news diets in Web and TV audiences Muise, Daniel Hosseinmardi, Homa Howland, Baird Mobius, Markus Rothschild, David Watts, Duncan J. Sci Adv Social and Interdisciplinary Sciences Partisan segregation within the news audience buffers many Americans from countervailing political views, posing a risk to democracy. Empirical studies of the online media ecosystem suggest that only a small minority of Americans, driven by a mix of demand and algorithms, are siloed according to their political ideology. However, such research omits the comparatively larger television audience and often ignores temporal dynamics underlying news consumption. By analyzing billions of browsing and viewing events between 2016 and 2019, with a novel framework for measuring partisan audiences, we first estimate that 17% of Americans are partisan-segregated through television versus roughly 4% online. Second, television news consumers are several times more likely to maintain their partisan news diets month-over-month. Third, TV viewers’ news diets are far more concentrated on preferred sources. Last, partisan news channels’ audiences are growing even as the TV news audience is shrinking. Our results suggest that television is the top driver of partisan audience segregation among Americans. American Association for the Advancement of Science 2022-07-13 /pmc/articles/PMC9278856/ /pubmed/35857498 http://dx.doi.org/10.1126/sciadv.abn0083 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Social and Interdisciplinary Sciences Muise, Daniel Hosseinmardi, Homa Howland, Baird Mobius, Markus Rothschild, David Watts, Duncan J. Quantifying partisan news diets in Web and TV audiences |
title | Quantifying partisan news diets in Web and TV audiences |
title_full | Quantifying partisan news diets in Web and TV audiences |
title_fullStr | Quantifying partisan news diets in Web and TV audiences |
title_full_unstemmed | Quantifying partisan news diets in Web and TV audiences |
title_short | Quantifying partisan news diets in Web and TV audiences |
title_sort | quantifying partisan news diets in web and tv audiences |
topic | Social and Interdisciplinary Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278856/ https://www.ncbi.nlm.nih.gov/pubmed/35857498 http://dx.doi.org/10.1126/sciadv.abn0083 |
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