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Detecting Emotional Contagion in Massive Social Networks

Happiness and other emotions spread between people in direct contact, but it is unclear whether massive online social networks also contribute to this spread. Here, we elaborate a novel method for measuring the contagion of emotional expression. With data from millions of Facebook users, we show tha...

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Detalles Bibliográficos
Autores principales: Coviello, Lorenzo, Sohn, Yunkyu, Kramer, Adam D. I., Marlow, Cameron, Franceschetti, Massimo, Christakis, Nicholas A., Fowler, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951248/
https://www.ncbi.nlm.nih.gov/pubmed/24621792
http://dx.doi.org/10.1371/journal.pone.0090315
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author Coviello, Lorenzo
Sohn, Yunkyu
Kramer, Adam D. I.
Marlow, Cameron
Franceschetti, Massimo
Christakis, Nicholas A.
Fowler, James H.
author_facet Coviello, Lorenzo
Sohn, Yunkyu
Kramer, Adam D. I.
Marlow, Cameron
Franceschetti, Massimo
Christakis, Nicholas A.
Fowler, James H.
author_sort Coviello, Lorenzo
collection PubMed
description Happiness and other emotions spread between people in direct contact, but it is unclear whether massive online social networks also contribute to this spread. Here, we elaborate a novel method for measuring the contagion of emotional expression. With data from millions of Facebook users, we show that rainfall directly influences the emotional content of their status messages, and it also affects the status messages of friends in other cities who are not experiencing rainfall. For every one person affected directly, rainfall alters the emotional expression of about one to two other people, suggesting that online social networks may magnify the intensity of global emotional synchrony.
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spelling pubmed-39512482014-03-13 Detecting Emotional Contagion in Massive Social Networks Coviello, Lorenzo Sohn, Yunkyu Kramer, Adam D. I. Marlow, Cameron Franceschetti, Massimo Christakis, Nicholas A. Fowler, James H. PLoS One Research Article Happiness and other emotions spread between people in direct contact, but it is unclear whether massive online social networks also contribute to this spread. Here, we elaborate a novel method for measuring the contagion of emotional expression. With data from millions of Facebook users, we show that rainfall directly influences the emotional content of their status messages, and it also affects the status messages of friends in other cities who are not experiencing rainfall. For every one person affected directly, rainfall alters the emotional expression of about one to two other people, suggesting that online social networks may magnify the intensity of global emotional synchrony. Public Library of Science 2014-03-12 /pmc/articles/PMC3951248/ /pubmed/24621792 http://dx.doi.org/10.1371/journal.pone.0090315 Text en © 2014 Coviello 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Coviello, Lorenzo
Sohn, Yunkyu
Kramer, Adam D. I.
Marlow, Cameron
Franceschetti, Massimo
Christakis, Nicholas A.
Fowler, James H.
Detecting Emotional Contagion in Massive Social Networks
title Detecting Emotional Contagion in Massive Social Networks
title_full Detecting Emotional Contagion in Massive Social Networks
title_fullStr Detecting Emotional Contagion in Massive Social Networks
title_full_unstemmed Detecting Emotional Contagion in Massive Social Networks
title_short Detecting Emotional Contagion in Massive Social Networks
title_sort detecting emotional contagion in massive social networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951248/
https://www.ncbi.nlm.nih.gov/pubmed/24621792
http://dx.doi.org/10.1371/journal.pone.0090315
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