Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)

Detalhes bibliográficos
Autor(a) principal: Yagui, Marcela Mayumi Mauricio
Data de Publicação: 2018
Outros Autores: Maia, Luís Fernando Monsores Passos, Oliveira, Jonice, Vivacqua, Adriana S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/560
Resumo: In recent years, the Online Social Networks (OSN) enabled the growth of many social movements in digital media, because they allow messages to be posted and shared instantly. In the political scope, the OSN are a means by which social groups been assembled themselves and defended their causes. On 04/18/2016, the Brazilian magazine Veja published an article entitled “bela, recatada e do lar” (beautiful, demure and housewife), whose repercussion mobilized several social groups and generated a virtual protest in nationwide scale. The goal of this research was to analyze behavior of users in the social network Twitter to identify how people reacted to the article “bela, recatada e do lar”. To achieve this, a network of shared messages (retweets) was built, where the centrality metrics Degree, Betweenness and Pagerank were calculated to identify which users most influenced the social movement. Also, a data mining technique known as sentiment analysis was used with the aid of the ETL (Extract, Transform & Load) methodology and the Naive Bayes probabilistic algorithm to study users behavior and opinion. Furthermore, an analysis of highlighted events was performed from most frequently tweeted hashtags. Results showed that (i) users that had more influence in the social movement could be split into two main classes: one represented by users with high Pagerank values, or in other words, users that published relevant content and were shared extensively by others, and another class represented by users with high Betweenness values, meaning that they acted in an influential manner only inside specific communities; (ii) in its majority, users expressed opinions against the conservative standard for women defended by the magazine article; and (iii) events that occurred in parallel to the social movement “bela, recatada e do lar” apparently influenced the content and amount of published messages in the OSN.
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spelling Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)In recent years, the Online Social Networks (OSN) enabled the growth of many social movements in digital media, because they allow messages to be posted and shared instantly. In the political scope, the OSN are a means by which social groups been assembled themselves and defended their causes. On 04/18/2016, the Brazilian magazine Veja published an article entitled “bela, recatada e do lar” (beautiful, demure and housewife), whose repercussion mobilized several social groups and generated a virtual protest in nationwide scale. The goal of this research was to analyze behavior of users in the social network Twitter to identify how people reacted to the article “bela, recatada e do lar”. To achieve this, a network of shared messages (retweets) was built, where the centrality metrics Degree, Betweenness and Pagerank were calculated to identify which users most influenced the social movement. Also, a data mining technique known as sentiment analysis was used with the aid of the ETL (Extract, Transform & Load) methodology and the Naive Bayes probabilistic algorithm to study users behavior and opinion. Furthermore, an analysis of highlighted events was performed from most frequently tweeted hashtags. Results showed that (i) users that had more influence in the social movement could be split into two main classes: one represented by users with high Pagerank values, or in other words, users that published relevant content and were shared extensively by others, and another class represented by users with high Betweenness values, meaning that they acted in an influential manner only inside specific communities; (ii) in its majority, users expressed opinions against the conservative standard for women defended by the magazine article; and (iii) events that occurred in parallel to the social movement “bela, recatada e do lar” apparently influenced the content and amount of published messages in the OSN.Editora da UFLA2018-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/560INFOCOMP Journal of Computer Science; Vol. 17 No. 1 (2018): June 2018; 23-371982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/560/499Copyright (c) 2018 Marcela Mayumi Mauricio Yagui, Luís Fernando Monsores Passos Maia, Jonice Oliveira, Adriana S. Vivacquainfo:eu-repo/semantics/openAccessYagui, Marcela Mayumi MauricioMaia, Luís Fernando Monsores PassosOliveira, JoniceVivacqua, Adriana S.2018-07-23T21:56:34Zoai:infocomp.dcc.ufla.br:article/560Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:43.123912INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
title Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
spellingShingle Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
Yagui, Marcela Mayumi Mauricio
title_short Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
title_full Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
title_fullStr Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
title_full_unstemmed Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
title_sort Data mining of social manifestations in Twitter: Analysis and aspects of the social movement “Bela, recatada e do lar” (Beautiful, demure and housewife)
author Yagui, Marcela Mayumi Mauricio
author_facet Yagui, Marcela Mayumi Mauricio
Maia, Luís Fernando Monsores Passos
Oliveira, Jonice
Vivacqua, Adriana S.
author_role author
author2 Maia, Luís Fernando Monsores Passos
Oliveira, Jonice
Vivacqua, Adriana S.
author2_role author
author
author
dc.contributor.author.fl_str_mv Yagui, Marcela Mayumi Mauricio
Maia, Luís Fernando Monsores Passos
Oliveira, Jonice
Vivacqua, Adriana S.
description In recent years, the Online Social Networks (OSN) enabled the growth of many social movements in digital media, because they allow messages to be posted and shared instantly. In the political scope, the OSN are a means by which social groups been assembled themselves and defended their causes. On 04/18/2016, the Brazilian magazine Veja published an article entitled “bela, recatada e do lar” (beautiful, demure and housewife), whose repercussion mobilized several social groups and generated a virtual protest in nationwide scale. The goal of this research was to analyze behavior of users in the social network Twitter to identify how people reacted to the article “bela, recatada e do lar”. To achieve this, a network of shared messages (retweets) was built, where the centrality metrics Degree, Betweenness and Pagerank were calculated to identify which users most influenced the social movement. Also, a data mining technique known as sentiment analysis was used with the aid of the ETL (Extract, Transform & Load) methodology and the Naive Bayes probabilistic algorithm to study users behavior and opinion. Furthermore, an analysis of highlighted events was performed from most frequently tweeted hashtags. Results showed that (i) users that had more influence in the social movement could be split into two main classes: one represented by users with high Pagerank values, or in other words, users that published relevant content and were shared extensively by others, and another class represented by users with high Betweenness values, meaning that they acted in an influential manner only inside specific communities; (ii) in its majority, users expressed opinions against the conservative standard for women defended by the magazine article; and (iii) events that occurred in parallel to the social movement “bela, recatada e do lar” apparently influenced the content and amount of published messages in the OSN.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/560
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/560
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/560/499
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 Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 17 No. 1 (2018): June 2018; 23-37
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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