Twitter and ideology in the 2018 presidential elections
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Outros Autores: | , , |
| 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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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 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 |
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2022-10-12 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto info:eu-repo/semantics/other |
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article |
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publishedVersion |
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https://revista.compolitica.org/index.php/revista/article/view/588 10.21878/compolitica.2022.12.1.588 |
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https://revista.compolitica.org/index.php/revista/article/view/588 |
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10.21878/compolitica.2022.12.1.588 |
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por |
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por |
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https://revista.compolitica.org/index.php/revista/article/view/588/320 |
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Associação Brasileira de Pesquisadores em Comunicação e Política |
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Associação Brasileira de Pesquisadores em Comunicação e Política |
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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) instacron:ABPCP |
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Revista Compolítica - Associação Brasileira de Pesquisadores em Comunicação e Política (Compolítica) |
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revista@compolitica.org |
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