Time to #protest: Selective exposure, cascading activation, and framing in social media

Autores
Aruguete, Natalia; Calvo, Ernesto
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In social media, sharing posts exposes a larger number of users to the preferred content of their peers. As users select or discard content, they collectively highlight facets of events or issues as to promote a particular interpretation. This article describes how social media users frame political events by selectively sharing content that is cognitively congruent with their beliefs. We model cognitive dissonance modeling time-to-retweet and exemplify the proposed theory with a study of recent protest events in Argentina.
Fil: Aruguete, Natalia. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Calvo, Ernesto. College Park; Estados Unidos
Materia
FRAMING
PROTESTS
SOCIAL NETWORKS
SURVIVAL MODELS.
TWITTER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/176633
Acceder
id CONICETDig_878db8a4948d862ac3e1ea0e8e7122ca
oai_identifier_str oai:ri.conicet.gov.ar:11336/176633
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Time to #protest: Selective exposure, cascading activation, and framing in social mediaAruguete, NataliaCalvo, ErnestoFRAMINGPROTESTSSOCIAL NETWORKSSURVIVAL MODELS.TWITTERhttps://purl.org/becyt/ford/5.8https://purl.org/becyt/ford/5In social media, sharing posts exposes a larger number of users to the preferred content of their peers. As users select or discard content, they collectively highlight facets of events or issues as to promote a particular interpretation. This article describes how social media users frame political events by selectively sharing content that is cognitively congruent with their beliefs. We model cognitive dissonance modeling time-to-retweet and exemplify the proposed theory with a study of recent protest events in Argentina.Fil: Aruguete, Natalia. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Calvo, Ernesto. College Park; Estados UnidosOxford University Press2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/176633Aruguete, Natalia; Calvo, Ernesto; Time to #protest: Selective exposure, cascading activation, and framing in social media; Oxford University Press; Journal of Communication; 68; 3; 6-2018; 480-5020021-99161460-2466CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/joc/article-abstract/68/3/480/4972616?redirectedFrom=fulltextinfo:eu-repo/semantics/altIdentifier/doi/10.1093/joc/jqy007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:17Zoai:ri.conicet.gov.ar:11336/176633instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:17.817CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Time to #protest: Selective exposure, cascading activation, and framing in social media
title Time to #protest: Selective exposure, cascading activation, and framing in social media
spellingShingle Time to #protest: Selective exposure, cascading activation, and framing in social media
Aruguete, Natalia
FRAMING
PROTESTS
SOCIAL NETWORKS
SURVIVAL MODELS.
TWITTER
title_short Time to #protest: Selective exposure, cascading activation, and framing in social media
title_full Time to #protest: Selective exposure, cascading activation, and framing in social media
title_fullStr Time to #protest: Selective exposure, cascading activation, and framing in social media
title_full_unstemmed Time to #protest: Selective exposure, cascading activation, and framing in social media
title_sort Time to #protest: Selective exposure, cascading activation, and framing in social media
dc.creator.none.fl_str_mv Aruguete, Natalia
Calvo, Ernesto
author Aruguete, Natalia
author_facet Aruguete, Natalia
Calvo, Ernesto
author_role author
author2 Calvo, Ernesto
author2_role author
dc.subject.none.fl_str_mv FRAMING
PROTESTS
SOCIAL NETWORKS
SURVIVAL MODELS.
TWITTER
topic FRAMING
PROTESTS
SOCIAL NETWORKS
SURVIVAL MODELS.
TWITTER
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.8
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv In social media, sharing posts exposes a larger number of users to the preferred content of their peers. As users select or discard content, they collectively highlight facets of events or issues as to promote a particular interpretation. This article describes how social media users frame political events by selectively sharing content that is cognitively congruent with their beliefs. We model cognitive dissonance modeling time-to-retweet and exemplify the proposed theory with a study of recent protest events in Argentina.
Fil: Aruguete, Natalia. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Calvo, Ernesto. College Park; Estados Unidos
description In social media, sharing posts exposes a larger number of users to the preferred content of their peers. As users select or discard content, they collectively highlight facets of events or issues as to promote a particular interpretation. This article describes how social media users frame political events by selectively sharing content that is cognitively congruent with their beliefs. We model cognitive dissonance modeling time-to-retweet and exemplify the proposed theory with a study of recent protest events in Argentina.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/176633
Aruguete, Natalia; Calvo, Ernesto; Time to #protest: Selective exposure, cascading activation, and framing in social media; Oxford University Press; Journal of Communication; 68; 3; 6-2018; 480-502
0021-9916
1460-2466
CONICET Digital
CONICET
url http://hdl.handle.net/11336/176633
identifier_str_mv Aruguete, Natalia; Calvo, Ernesto; Time to #protest: Selective exposure, cascading activation, and framing in social media; Oxford University Press; Journal of Communication; 68; 3; 6-2018; 480-502
0021-9916
1460-2466
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/joc/article-abstract/68/3/480/4972616?redirectedFrom=fulltext
info:eu-repo/semantics/altIdentifier/doi/10.1093/joc/jqy007
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613136560160768
score 13.070432

Publicaciones similares