Twitter and ideology in the 2018 presidential elections

Detalhes bibliográficos
Autor(a) principal: Iasulaitis, Sylvia
Data de Publicação: 2022
Outros Autores: Braga, Maria Socorro, Seleghim, Ariane Duarte, Brolo, Alvaro Lorencetti
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Compolítica
Texto Completo: https://revista.compolitica.org/index.php/revista/article/view/588
Resumo: Social networking sites have been widely used in electoral campaigns, especially Twitter. This article aims to comparatively analyze the ideological campaign strategies by Twitter in the 2018 elections in Brazil. To achieve this purpose, data mining strategies were used via the Twitter API with the Python programming language, through the Tweepy library. A corpus composed of all tweets (n=3182) mined from the official accounts of the main presidential candidates during the electoral race was categorized and analyzed based on the content analysis technique. With the empirical study presented, it is expected to contribute to the specialized literature due to the application of an already classic international methodology (MRG/Manifesto Project) in its most recent version to a new unit of analysis: the mined content of social media platforms and websites of digital social networks, which are new tools available to candidates to communicate their programmatic and ideological messages to voters.
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spelling Twitter and ideology in the 2018 presidential electionsTwitter e ideologia nas eleições presidenciais de 2018TwitterIdeologiaComunicação eleitoralSocial networking sites have been widely used in electoral campaigns, especially Twitter. This article aims to comparatively analyze the ideological campaign strategies by Twitter in the 2018 elections in Brazil. To achieve this purpose, data mining strategies were used via the Twitter API with the Python programming language, through the Tweepy library. A corpus composed of all tweets (n=3182) mined from the official accounts of the main presidential candidates during the electoral race was categorized and analyzed based on the content analysis technique. With the empirical study presented, it is expected to contribute to the specialized literature due to the application of an already classic international methodology (MRG/Manifesto Project) in its most recent version to a new unit of analysis: the mined content of social media platforms and websites of digital social networks, which are new tools available to candidates to communicate their programmatic and ideological messages to voters.Plataformas de mídias sociais e sites de redes sociais vêm sendo amplamente utilizados em campanhas eleitorais, com destaque para o Twitter. Este artigo tem como objetivo analisar comparativamente as estratégias ideológicas de campanha pelo Twitter nas eleições de 2018 no Brasil. Para dar conta desse propósito, foram empregadas estratégias de data mining via API do Twitter com a linguagem de programação Python, por meio da biblioteca Tweepy. Um corpus composto por todos os tweets (n=3182) minerados das contas oficiais dos principais presidenciáveis durante a corrida eleitoral foi categorizado e analisado com base na técnica de análise de conteúdo. Com o estudo empírico apresentado espera-se contribuir com a literatura especializada devido à aplicação de uma metodologia internacional já clássica (MRG/Manifesto Project) em sua versão mais recente a uma nova unidade de análise: o conteúdo extraído de plataformas de mídias sociais e de redes sociais digitais, que são novas ferramentas das quais os candidatos dispõem para comunicar suas mensagens programáticas e ideológicas aos eleitores.Associação Brasileira de Pesquisadores em Comunicação e Política2022-10-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoinfo:eu-repo/semantics/otherapplication/pdfhttps://revista.compolitica.org/index.php/revista/article/view/58810.21878/compolitica.2022.12.1.588Compolítica; Vol. 12 No. 1 (2022): Revista Compolítica; 29-58Compolítica; v. 12 n. 1 (2022): Revista Compolítica; 29-582236-478110.21878/compolitica.2022.12.1reponame:Revista Compolíticainstname:Associação Brasileira de Pesquisadores em Comunicação e Política (Compolítica)instacron:ABPCPporhttps://revista.compolitica.org/index.php/revista/article/view/588/320Copyright (c) 2022 Sylvia Iasulaitis, Thomaz Moreira Arantes de Castro, Ariane Duarte Seleghim, Alvaro Lorencetti Broloinfo:eu-repo/semantics/openAccessIasulaitis, SylviaBraga, Maria SocorroSeleghim, Ariane DuarteBrolo, Alvaro Lorencetti2023-12-15T05:16:13Zoai:ojs2.compolitica.ojsbrasil.com.br:article/588RevistaONGhttp://compolitica.org/revista/index.php/revista/oairevista@compolitica.org2236-47812236-4781opendoar:2024-04-22T12:35:13.191363Revista Compolítica - Associação Brasileira de Pesquisadores em Comunicação e Política (Compolítica)true
dc.title.none.fl_str_mv Twitter and ideology in the 2018 presidential elections
Twitter e ideologia nas eleições presidenciais de 2018
title Twitter and ideology in the 2018 presidential elections
spellingShingle Twitter and ideology in the 2018 presidential elections
Iasulaitis, Sylvia
Twitter
Ideologia
Comunicação eleitoral
title_short Twitter and ideology in the 2018 presidential elections
title_full Twitter and ideology in the 2018 presidential elections
title_fullStr Twitter and ideology in the 2018 presidential elections
title_full_unstemmed Twitter and ideology in the 2018 presidential elections
title_sort Twitter and ideology in the 2018 presidential elections
author Iasulaitis, Sylvia
author_facet Iasulaitis, Sylvia
Braga, Maria Socorro
Seleghim, Ariane Duarte
Brolo, Alvaro Lorencetti
author_role author
author2 Braga, Maria Socorro
Seleghim, Ariane Duarte
Brolo, Alvaro Lorencetti
author2_role author
author
author
dc.contributor.author.fl_str_mv Iasulaitis, Sylvia
Braga, Maria Socorro
Seleghim, Ariane Duarte
Brolo, Alvaro Lorencetti
dc.subject.por.fl_str_mv Twitter
Ideologia
Comunicação eleitoral
topic Twitter
Ideologia
Comunicação eleitoral
description Social networking sites have been widely used in electoral campaigns, especially Twitter. This article aims to comparatively analyze the ideological campaign strategies by Twitter in the 2018 elections in Brazil. To achieve this purpose, data mining strategies were used via the Twitter API with the Python programming language, through the Tweepy library. A corpus composed of all tweets (n=3182) mined from the official accounts of the main presidential candidates during the electoral race was categorized and analyzed based on the content analysis technique. With the empirical study presented, it is expected to contribute to the specialized literature due to the application of an already classic international methodology (MRG/Manifesto Project) in its most recent version to a new unit of analysis: the mined content of social media platforms and websites of digital social networks, which are new tools available to candidates to communicate their programmatic and ideological messages to voters.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Texto
info:eu-repo/semantics/other
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revista.compolitica.org/index.php/revista/article/view/588
10.21878/compolitica.2022.12.1.588
url https://revista.compolitica.org/index.php/revista/article/view/588
identifier_str_mv 10.21878/compolitica.2022.12.1.588
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.compolitica.org/index.php/revista/article/view/588/320
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Associação Brasileira de Pesquisadores em Comunicação e Política
publisher.none.fl_str_mv Associação Brasileira de Pesquisadores em Comunicação e Política
dc.source.none.fl_str_mv Compolítica; Vol. 12 No. 1 (2022): Revista Compolítica; 29-58
Compolítica; v. 12 n. 1 (2022): Revista Compolítica; 29-58
2236-4781
10.21878/compolitica.2022.12.1
reponame:Revista Compolítica
instname:Associação Brasileira de Pesquisadores em Comunicação e Política (Compolítica)
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instname_str Associação Brasileira de Pesquisadores em Comunicação e Política (Compolítica)
instacron_str ABPCP
institution ABPCP
reponame_str Revista Compolítica
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repository.name.fl_str_mv Revista Compolítica - Associação Brasileira de Pesquisadores em Comunicação e Política (Compolítica)
repository.mail.fl_str_mv revista@compolitica.org
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