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...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4994967?pdf=render |
id |
doaj-1547cc4576b247d5a70229a8da76f7a8 |
---|---|
record_format |
Article |
spelling |
doaj-1547cc4576b247d5a70229a8da76f7a82020-11-24T21:09:43ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01118e015964110.1371/journal.pone.0159641Users Polarization on Facebook and Youtube.Alessandro BessiFabiana ZolloMichela Del VicarioMichelangelo PuligaAntonio ScalaGuido CaldarelliBrian UzziWalter QuattrociocchiUsers 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.http://europepmc.org/articles/PMC4994967?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alessandro Bessi Fabiana Zollo Michela Del Vicario Michelangelo Puliga Antonio Scala Guido Caldarelli Brian Uzzi Walter Quattrociocchi |
spellingShingle |
Alessandro Bessi Fabiana Zollo Michela Del Vicario Michelangelo Puliga Antonio Scala Guido Caldarelli Brian Uzzi Walter Quattrociocchi Users Polarization on Facebook and Youtube. PLoS ONE |
author_facet |
Alessandro Bessi Fabiana Zollo Michela Del Vicario Michelangelo Puliga Antonio Scala Guido Caldarelli Brian Uzzi Walter Quattrociocchi |
author_sort |
Alessandro Bessi |
title |
Users Polarization on Facebook and Youtube. |
title_short |
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_sort |
users polarization on facebook and youtube. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2016-01-01 |
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. |
url |
http://europepmc.org/articles/PMC4994967?pdf=render |
work_keys_str_mv |
AT alessandrobessi userspolarizationonfacebookandyoutube AT fabianazollo userspolarizationonfacebookandyoutube AT micheladelvicario userspolarizationonfacebookandyoutube AT michelangelopuliga userspolarizationonfacebookandyoutube AT antonioscala userspolarizationonfacebookandyoutube AT guidocaldarelli userspolarizationonfacebookandyoutube AT brianuzzi userspolarizationonfacebookandyoutube AT walterquattrociocchi userspolarizationonfacebookandyoutube |
_version_ |
1716757625516851200 |