Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Scharkow, Michael, Mangold, Frank, Stier, Sebastian, Breuer, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
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
_version_ 1783497971878330368
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
work_keys_str_mv AT scharkowmichael howsocialnetworksitesandotheronlineintermediariesincreaseexposuretonews
AT mangoldfrank howsocialnetworksitesandotheronlineintermediariesincreaseexposuretonews
AT stiersebastian howsocialnetworksitesandotheronlineintermediariesincreaseexposuretonews
AT breuerjohannes howsocialnetworksitesandotheronlineintermediariesincreaseexposuretonews