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How social network sites and other online intermediaries increase exposure to news
Research has prominently assumed that social media and web portals that aggregate news restrict the diversity of content that users are exposed to by tailoring news diets toward the users’ preferences. In our empirical test of this argument, we apply a random-effects within–between model to two larg...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022199/ https://www.ncbi.nlm.nih.gov/pubmed/31988122 http://dx.doi.org/10.1073/pnas.1918279117 |
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author | Scharkow, Michael Mangold, Frank Stier, Sebastian Breuer, Johannes |
author_facet | Scharkow, Michael Mangold, Frank Stier, Sebastian Breuer, Johannes |
author_sort | Scharkow, Michael |
collection | PubMed |
description | Research has prominently assumed that social media and web portals that aggregate news restrict the diversity of content that users are exposed to by tailoring news diets toward the users’ preferences. In our empirical test of this argument, we apply a random-effects within–between model to two large representative datasets of individual web browsing histories. This approach allows us to better encapsulate the effects of social media and other intermediaries on news exposure. We find strong evidence that intermediaries foster more varied online news diets. The results call into question fears about the vanishing potential for incidental news exposure in digital media environments. |
format | Online Article Text |
id | pubmed-7022199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-70221992020-02-21 How social network sites and other online intermediaries increase exposure to news Scharkow, Michael Mangold, Frank Stier, Sebastian Breuer, Johannes Proc Natl Acad Sci U S A Social Sciences Research has prominently assumed that social media and web portals that aggregate news restrict the diversity of content that users are exposed to by tailoring news diets toward the users’ preferences. In our empirical test of this argument, we apply a random-effects within–between model to two large representative datasets of individual web browsing histories. This approach allows us to better encapsulate the effects of social media and other intermediaries on news exposure. We find strong evidence that intermediaries foster more varied online news diets. The results call into question fears about the vanishing potential for incidental news exposure in digital media environments. National Academy of Sciences 2020-02-11 2020-01-27 /pmc/articles/PMC7022199/ /pubmed/31988122 http://dx.doi.org/10.1073/pnas.1918279117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ 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 Scharkow, Michael Mangold, Frank Stier, Sebastian Breuer, Johannes How social network sites and other online intermediaries increase exposure to news |
title | How social network sites and other online intermediaries increase exposure to news |
title_full | How social network sites and other online intermediaries increase exposure to news |
title_fullStr | How social network sites and other online intermediaries increase exposure to news |
title_full_unstemmed | How social network sites and other online intermediaries increase exposure to news |
title_short | How social network sites and other online intermediaries increase exposure to news |
title_sort | how social network sites and other online intermediaries increase exposure to news |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022199/ https://www.ncbi.nlm.nih.gov/pubmed/31988122 http://dx.doi.org/10.1073/pnas.1918279117 |
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