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...
Gespeichert in:
| Veröffentlicht in: | PloS one 2014-03, Vol.9 (3), p.e90315-e90315 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e90315 |
|---|---|
| container_issue | 3 |
| container_start_page | e90315 |
| container_title | PloS one |
| container_volume | 9 |
| creator | Coviello, Lorenzo Sohn, Yunkyu Kramer, Adam D I Marlow, Cameron Franceschetti, Massimo Christakis, Nicholas A Fowler, James H |
| 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. |
| doi_str_mv | 10.1371/journal.pone.0090315 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1506819663</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A478770345</galeid><doaj_id>oai_doaj_org_article_bed53bdd3d7f4e3e84fe14fa71705406</doaj_id><sourcerecordid>A478770345</sourcerecordid><originalsourceid>FETCH-LOGICAL-c758t-c3c7ac6bd65191d9fd99faf265bdef586bbe0c247482bf84f12e06efd98445bf3</originalsourceid><addsrcrecordid>eNqNkttu1DAQhiMEoqXwBghWQkJwsYvPTm6QqnJaqVIlTreWY4-zLkm8xE6Bt8fbTasN6gXyha3xN_94PH9RPMVohanEby7DOPS6XW1DDyuEKkQxv1cc44qSpSCI3j84HxWPYrxEiNNSiIfFEWGCYFmR46J8BwlM8n2zgC4kH7LkwoQ-6SafF75fdDpGfwWLGIzPdz2kX2H4ER8XD5xuIzyZ9pPi24f3X88-Lc8vPq7PTs-XRvIyLQ01UhtRW8FxhW3lbFU57YjgtQXHS1HXgAxhkpWkdiVzmAASkLGSMV47elI83-tu2xDV1HRUmCNR4koImon1nrBBX6rt4Ds9_FFBe3UdCEOj9JC8aUHVYDmtraVWOgYUcj3AzGmJJeIMiaz1dqo21h1YA30adDsTnd_0fqOacKVoxTFhZRZ4NQkM4ecIManORwNtq3sI4_W7paw4kTijL_5B7-5uohqdG_C9C7mu2YmqUyZLKRFlPFOrO6i8LHQ-jxOcz_FZwutZwm7k8Ds1eoxRrb98_n_24vucfXnAbkC3aRNDO-6cFecg24NmCDEO4G4_GSO1M_jNb6idwdVk8Jz27HBAt0k3jqZ_AeJX9gg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1506819663</pqid></control><display><type>article</type><title>Detecting emotional contagion in massive social networks</title><source>PubMed (Medline)</source><source>MEDLINE</source><source>Public Library of Science</source><source>Full-Text Journals in Chemistry (Open access)</source><source>DOAJ Directory of Open Access Journals</source><source>EZB Electronic Journals Library</source><creator>Coviello, Lorenzo ; Sohn, Yunkyu ; Kramer, Adam D I ; Marlow, Cameron ; Franceschetti, Massimo ; Christakis, Nicholas A ; Fowler, James H</creator><creatorcontrib>Coviello, Lorenzo ; Sohn, Yunkyu ; Kramer, Adam D I ; Marlow, Cameron ; Franceschetti, Massimo ; Christakis, Nicholas A ; Fowler, James H</creatorcontrib><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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0090315</identifier><identifier>PMID: 24621792</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Emotions ; Happiness ; Humans ; Internet ; Medicine ; Messages ; Models, Theoretical ; Online social networks ; Rain ; Rainfall ; Social and Behavioral Sciences ; Social interactions ; Social Networking ; Social networks ; Social organization</subject><ispartof>PloS one, 2014-03, Vol.9 (3), p.e90315-e90315</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Coviello et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Coviello et al 2014 Coviello et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-c3c7ac6bd65191d9fd99faf265bdef586bbe0c247482bf84f12e06efd98445bf3</citedby><cites>FETCH-LOGICAL-c758t-c3c7ac6bd65191d9fd99faf265bdef586bbe0c247482bf84f12e06efd98445bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951248/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951248/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24621792$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Coviello, Lorenzo</creatorcontrib><creatorcontrib>Sohn, Yunkyu</creatorcontrib><creatorcontrib>Kramer, Adam D I</creatorcontrib><creatorcontrib>Marlow, Cameron</creatorcontrib><creatorcontrib>Franceschetti, Massimo</creatorcontrib><creatorcontrib>Christakis, Nicholas A</creatorcontrib><creatorcontrib>Fowler, James H</creatorcontrib><title>Detecting emotional contagion in massive social networks</title><title>PloS one</title><addtitle>PLoS One</addtitle><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.</description><subject>Emotions</subject><subject>Happiness</subject><subject>Humans</subject><subject>Internet</subject><subject>Medicine</subject><subject>Messages</subject><subject>Models, Theoretical</subject><subject>Online social networks</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Social and Behavioral Sciences</subject><subject>Social interactions</subject><subject>Social Networking</subject><subject>Social networks</subject><subject>Social organization</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkttu1DAQhiMEoqXwBghWQkJwsYvPTm6QqnJaqVIlTreWY4-zLkm8xE6Bt8fbTasN6gXyha3xN_94PH9RPMVohanEby7DOPS6XW1DDyuEKkQxv1cc44qSpSCI3j84HxWPYrxEiNNSiIfFEWGCYFmR46J8BwlM8n2zgC4kH7LkwoQ-6SafF75fdDpGfwWLGIzPdz2kX2H4ER8XD5xuIzyZ9pPi24f3X88-Lc8vPq7PTs-XRvIyLQ01UhtRW8FxhW3lbFU57YjgtQXHS1HXgAxhkpWkdiVzmAASkLGSMV47elI83-tu2xDV1HRUmCNR4koImon1nrBBX6rt4Ds9_FFBe3UdCEOj9JC8aUHVYDmtraVWOgYUcj3AzGmJJeIMiaz1dqo21h1YA30adDsTnd_0fqOacKVoxTFhZRZ4NQkM4ecIManORwNtq3sI4_W7paw4kTijL_5B7-5uohqdG_C9C7mu2YmqUyZLKRFlPFOrO6i8LHQ-jxOcz_FZwutZwm7k8Ds1eoxRrb98_n_24vucfXnAbkC3aRNDO-6cFecg24NmCDEO4G4_GSO1M_jNb6idwdVk8Jz27HBAt0k3jqZ_AeJX9gg</recordid><startdate>20140312</startdate><enddate>20140312</enddate><creator>Coviello, Lorenzo</creator><creator>Sohn, Yunkyu</creator><creator>Kramer, Adam D I</creator><creator>Marlow, Cameron</creator><creator>Franceschetti, Massimo</creator><creator>Christakis, Nicholas A</creator><creator>Fowler, James H</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140312</creationdate><title>Detecting emotional contagion in massive social networks</title><author>Coviello, Lorenzo ; Sohn, Yunkyu ; Kramer, Adam D I ; Marlow, Cameron ; Franceschetti, Massimo ; Christakis, Nicholas A ; Fowler, James H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-c3c7ac6bd65191d9fd99faf265bdef586bbe0c247482bf84f12e06efd98445bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Emotions</topic><topic>Happiness</topic><topic>Humans</topic><topic>Internet</topic><topic>Medicine</topic><topic>Messages</topic><topic>Models, Theoretical</topic><topic>Online social networks</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Social and Behavioral Sciences</topic><topic>Social interactions</topic><topic>Social Networking</topic><topic>Social networks</topic><topic>Social organization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coviello, Lorenzo</creatorcontrib><creatorcontrib>Sohn, Yunkyu</creatorcontrib><creatorcontrib>Kramer, Adam D I</creatorcontrib><creatorcontrib>Marlow, Cameron</creatorcontrib><creatorcontrib>Franceschetti, Massimo</creatorcontrib><creatorcontrib>Christakis, Nicholas A</creatorcontrib><creatorcontrib>Fowler, James H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</collection><collection>Gale in Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coviello, Lorenzo</au><au>Sohn, Yunkyu</au><au>Kramer, Adam D I</au><au>Marlow, Cameron</au><au>Franceschetti, Massimo</au><au>Christakis, Nicholas A</au><au>Fowler, James H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting emotional contagion in massive social networks</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-03-12</date><risdate>2014</risdate><volume>9</volume><issue>3</issue><spage>e90315</spage><epage>e90315</epage><pages>e90315-e90315</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24621792</pmid><doi>10.1371/journal.pone.0090315</doi><tpages>e90315</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2014-03, Vol.9 (3), p.e90315-e90315 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1506819663 |
| source | PubMed (Medline); MEDLINE; Public Library of Science; Full-Text Journals in Chemistry (Open access); DOAJ Directory of Open Access Journals; EZB Electronic Journals Library |
| subjects | Emotions Happiness Humans Internet Medicine Messages Models, Theoretical Online social networks Rain Rainfall Social and Behavioral Sciences Social interactions Social Networking Social networks Social organization |
| title | Detecting emotional contagion in massive social networks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T20%3A02%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detecting%20emotional%20contagion%20in%20massive%20social%20networks&rft.jtitle=PloS%20one&rft.au=Coviello,%20Lorenzo&rft.date=2014-03-12&rft.volume=9&rft.issue=3&rft.spage=e90315&rft.epage=e90315&rft.pages=e90315-e90315&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0090315&rft_dat=%3Cgale_plos_%3EA478770345%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1506819663&rft_id=info:pmid/24621792&rft_galeid=A478770345&rft_doaj_id=oai_doaj_org_article_bed53bdd3d7f4e3e84fe14fa71705406&rfr_iscdi=true |