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Users Polarization on Facebook and Youtube

Users online tend to select information that support and adhere their beliefs, and to form polarized groups sharing the same view—e.g. echo chambers. Algorithms for content promotion may favour this phenomenon, by accounting for users preferences and thus limiting the exposure to unsolicited content...

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Detalles Bibliográficos
Autores principales: Bessi, Alessandro, Zollo, Fabiana, Del Vicario, Michela, Puliga, Michelangelo, Scala, Antonio, Caldarelli, Guido, Uzzi, Brian, Quattrociocchi, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994967/
https://www.ncbi.nlm.nih.gov/pubmed/27551783
http://dx.doi.org/10.1371/journal.pone.0159641
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author Bessi, Alessandro
Zollo, Fabiana
Del Vicario, Michela
Puliga, Michelangelo
Scala, Antonio
Caldarelli, Guido
Uzzi, Brian
Quattrociocchi, Walter
author_facet Bessi, Alessandro
Zollo, Fabiana
Del Vicario, Michela
Puliga, Michelangelo
Scala, Antonio
Caldarelli, Guido
Uzzi, Brian
Quattrociocchi, Walter
author_sort Bessi, Alessandro
collection PubMed
description Users online tend to select information that support and adhere their beliefs, and to form polarized groups sharing the same view—e.g. echo chambers. Algorithms for content promotion may favour this phenomenon, by accounting for users preferences and thus limiting the exposure to unsolicited contents. To shade light on this question, we perform a comparative study on how same contents (videos) are consumed on different online social media—i.e. Facebook and YouTube—over a sample of 12M of users. Our findings show that content drives the emergence of echo chambers on both platforms. Moreover, we show that the users’ commenting patterns are accurate predictors for the formation of echo-chambers.
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spelling pubmed-49949672016-09-12 Users Polarization on Facebook and Youtube Bessi, Alessandro Zollo, Fabiana Del Vicario, Michela Puliga, Michelangelo Scala, Antonio Caldarelli, Guido Uzzi, Brian Quattrociocchi, Walter PLoS One Research Article Users online tend to select information that support and adhere their beliefs, and to form polarized groups sharing the same view—e.g. echo chambers. Algorithms for content promotion may favour this phenomenon, by accounting for users preferences and thus limiting the exposure to unsolicited contents. To shade light on this question, we perform a comparative study on how same contents (videos) are consumed on different online social media—i.e. Facebook and YouTube—over a sample of 12M of users. Our findings show that content drives the emergence of echo chambers on both platforms. Moreover, we show that the users’ commenting patterns are accurate predictors for the formation of echo-chambers. Public Library of Science 2016-08-23 /pmc/articles/PMC4994967/ /pubmed/27551783 http://dx.doi.org/10.1371/journal.pone.0159641 Text en © 2016 Bessi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bessi, Alessandro
Zollo, Fabiana
Del Vicario, Michela
Puliga, Michelangelo
Scala, Antonio
Caldarelli, Guido
Uzzi, Brian
Quattrociocchi, Walter
Users Polarization on Facebook and Youtube
title Users Polarization on Facebook and Youtube
title_full Users Polarization on Facebook and Youtube
title_fullStr Users Polarization on Facebook and Youtube
title_full_unstemmed Users Polarization on Facebook and Youtube
title_short Users Polarization on Facebook and Youtube
title_sort users polarization on facebook and youtube
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994967/
https://www.ncbi.nlm.nih.gov/pubmed/27551783
http://dx.doi.org/10.1371/journal.pone.0159641
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