Behavior of the digital communities on Twitter during the Mexico 2018 elections

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In order to asses the importance of political communication in the Mexican political culture, this paper probes into the behavior of digital communities in Twitter during the 2018 Mexico’s presidential election. Research followed a two staged design. First, a large sample of tweets were collected on...

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Detalles Bibliográficos
Autores: Andrade del Cid, Patricia, Flores González, Rubén, Pablo Contreras, Mariangel
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad de Piura
Repositorio:Revista de Comunicación
Lenguaje:español
OAI Identifier:oai:revistas.udep.edu.pe:article/1637
Enlace del recurso:https://revistadecomunicacion.com/article/view/1637
Nivel de acceso:acceso abierto
Materia:big data
análisis de contenido
Twitter
cultura política
México
content analysis
political culture
Mexico
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spelling Behavior of the digital communities on Twitter during the Mexico 2018 electionsComportamiento de las comunidades digitales en Twitter durante las elecciones México 2018Andrade del Cid, PatriciaFlores González, RubénPablo Contreras, Mariangelbig dataanálisis de contenidoTwittercultura políticaMéxicobig datacontent analysisTwitterpolitical cultureMexicoIn order to asses the importance of political communication in the Mexican political culture, this paper probes into the behavior of digital communities in Twitter during the 2018 Mexico’s presidential election. Research followed a two staged design. First, a large sample of tweets were collected on a daily basis using the package “rtweet” in the R programming environment. Following that, the collected tweets were filtered, cleaned, and a codebook was designed to analyze their contents. The results show that, out of a sample of 4664 publications, candidate Jose Antonio Meade had the largest number of mentions (47%), followed by Andrés Manuel López Obrador (29%) and Ricardo Anaya (24%). “Common citizens” issued 31% of the tweets analyzed, out of which 20% show links to online news outlets, while journalists and media publications accounted for 40% of the sampled tweets. The authors consider that these results characterize the observed digital communication practices as either transformations or extensions of the offline public sphere. Con el objetivo de evaluar la importancia de la comunicación digital en la cultura política, se exploró el comportamiento de las comunidades digitales del Twitter durante las elecciones México 2018. La investigación se dividió en dos fases: obtener los tuits de la campaña electoral sobre tres de los candidatos por medio del entorno de programación “R” y mediante filtros el análisis de la base de datos a través de un libro de códigos. Los resultados describen que, de 4664 tuits analizados, el candidato José Antonio Meade (47%), seguido por Andrés Manuel López Obrador (29%) y Ricardo Anaya (24%). Los emisores “ciudadanos comunes” emitieron el 31% de los tuits analizados, de los cuales el 20% fueron enlazados con noticias de medios online, mientras que los “periodistas” y “medios de comunicación” sumaron el 40% del total. La discusión final prevé a la comunicación digital como transformadora o reproductora de la esfera pública.Universidad de Piura. Facultad de Comunicación2020-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticle evaluated by pairsArtículo evaluado por paresapplication/pdfapplication/xmltext/htmlhttps://revistadecomunicacion.com/article/view/163710.26441/RC19.1-2020-A2Revista de Comunicación; Vol. 19 No. 1 (2020); 19-36Revista de Comunicación; Vol. 19 Núm. 1 (2020); 19-362227-14651684-0933reponame:Revista de Comunicacióninstname:Universidad de Piurainstacron:UDEPspahttps://revistadecomunicacion.com/article/view/1637/1349https://revistadecomunicacion.com/article/view/1637/1486https://revistadecomunicacion.com/article/view/1637/1513Derechos de autor 2020 Revista de Comunicacióninfo:eu-repo/semantics/openAccessoai:revistas.udep.edu.pe:article/16372022-08-25T21:41:16Z
dc.title.none.fl_str_mv Behavior of the digital communities on Twitter during the Mexico 2018 elections
Comportamiento de las comunidades digitales en Twitter durante las elecciones México 2018
title Behavior of the digital communities on Twitter during the Mexico 2018 elections
spellingShingle Behavior of the digital communities on Twitter during the Mexico 2018 elections
Andrade del Cid, Patricia
big data
análisis de contenido
Twitter
cultura política
México
big data
content analysis
Twitter
political culture
Mexico
title_short Behavior of the digital communities on Twitter during the Mexico 2018 elections
title_full Behavior of the digital communities on Twitter during the Mexico 2018 elections
title_fullStr Behavior of the digital communities on Twitter during the Mexico 2018 elections
title_full_unstemmed Behavior of the digital communities on Twitter during the Mexico 2018 elections
title_sort Behavior of the digital communities on Twitter during the Mexico 2018 elections
dc.creator.none.fl_str_mv Andrade del Cid, Patricia
Flores González, Rubén
Pablo Contreras, Mariangel
author Andrade del Cid, Patricia
author_facet Andrade del Cid, Patricia
Flores González, Rubén
Pablo Contreras, Mariangel
author_role author
author2 Flores González, Rubén
Pablo Contreras, Mariangel
author2_role author
author
dc.subject.none.fl_str_mv big data
análisis de contenido
Twitter
cultura política
México
big data
content analysis
Twitter
political culture
Mexico
topic big data
análisis de contenido
Twitter
cultura política
México
big data
content analysis
Twitter
political culture
Mexico
description In order to asses the importance of political communication in the Mexican political culture, this paper probes into the behavior of digital communities in Twitter during the 2018 Mexico’s presidential election. Research followed a two staged design. First, a large sample of tweets were collected on a daily basis using the package “rtweet” in the R programming environment. Following that, the collected tweets were filtered, cleaned, and a codebook was designed to analyze their contents. The results show that, out of a sample of 4664 publications, candidate Jose Antonio Meade had the largest number of mentions (47%), followed by Andrés Manuel López Obrador (29%) and Ricardo Anaya (24%). “Common citizens” issued 31% of the tweets analyzed, out of which 20% show links to online news outlets, while journalists and media publications accounted for 40% of the sampled tweets. The authors consider that these results characterize the observed digital communication practices as either transformations or extensions of the offline public sphere. 
publishDate 2020
dc.date.none.fl_str_mv 2020-10-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Article evaluated by pairs
Artículo evaluado por pares
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistadecomunicacion.com/article/view/1637
10.26441/RC19.1-2020-A2
url https://revistadecomunicacion.com/article/view/1637
identifier_str_mv 10.26441/RC19.1-2020-A2
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistadecomunicacion.com/article/view/1637/1349
https://revistadecomunicacion.com/article/view/1637/1486
https://revistadecomunicacion.com/article/view/1637/1513
dc.rights.none.fl_str_mv Derechos de autor 2020 Revista de Comunicación
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2020 Revista de Comunicación
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/xml
text/html
dc.publisher.none.fl_str_mv Universidad de Piura. Facultad de Comunicación
publisher.none.fl_str_mv Universidad de Piura. Facultad de Comunicación
dc.source.none.fl_str_mv Revista de Comunicación; Vol. 19 No. 1 (2020); 19-36
Revista de Comunicación; Vol. 19 Núm. 1 (2020); 19-36
2227-1465
1684-0933
reponame:Revista de Comunicación
instname:Universidad de Piura
instacron:UDEP
instname_str Universidad de Piura
instacron_str UDEP
institution UDEP
reponame_str Revista de Comunicación
collection Revista de Comunicación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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