Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives
The use of social media has become increasingly widespread among citizens and politicians in Brazil. This means of communication served as a key arena for debate and propaganda during the 2014 legislative and presidential elections, when a very polarized political scenario emerged. New approaches ha...
| Principais autores: | Souza, Rafael Martins de, Graça, Luís Felipe Guedes da, Silva, Ralph dos Santos |
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| Outros Autores: | Tribunal Superior Eleitoral |
| Tipo de documento: | Artigo |
| Idioma: | English |
| Publicado em: |
2021
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oai:bdjur.stj.jus.br.col_bdtse_4134:oai:localhost:bdtse-9073 |
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oai:bdjur.stj.jus.br.col_bdtse_4134:oai:localhost:bdtse-90732024-10-14 Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives Souza, Rafael Martins de Graça, Luís Felipe Guedes da Silva, Ralph dos Santos Tribunal Superior Eleitoral Política Ideologia Eleição Partido político Rede social Twitter The use of social media has become increasingly widespread among citizens and politicians in Brazil. This means of communication served as a key arena for debate and propaganda during the 2014 legislative and presidential elections, when a very polarized political scenario emerged. New approaches have been developed that use information from the social network structure constructed by political actors on social media platforms, such as Twitter, in order to calculate ideal points. Can data from the decision to 'follow' a profile on Twitter be used to estimate politicians' ideological positions? Can approaches like this show the variance of political positions even within a very fragmented legislative body, such as the Brazilian Chamber of Deputies? This article presents and analyzes the successful application of a Bayesian spatial model developed by Barberá (2015), using data from Brazil. This method allowed to capture differences between parties and political actors similar to those found by means of roll call votes. It also makes possible to calculate ideal points for actors who participate in the public debate, but are not professional politicians. 2021-08-19T19:27:01Z 2021-08-19T19:27:01Z 2017 Artigo SOUZA, Rafael Martins de; GRAÇA, Luís Felipe Guedes da; SILVA, Ralph dos Santos. Politics on the web: using Twitter to estimate the ideological positions of brazilian representatives. Brazilian Political Science Review, São Paulo, v. 11, n. 3, p. 1-26, 2017. DOI: http://dx.doi.org/10.1590/1981-3821201700030003. http://bibliotecadigital.tse.jus.br/xmlui/handle/bdtse/9073 en <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/deed.pt_BR"><img alt="Licença Creative Commons" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />Este item está licenciado com uma Licença <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/deed.pt_BR">Creative Commons Atribuição-CompartilhaIgual 4.0 Internacional</a>. 26 p. |
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TSE |
| collection |
TSE |
| language |
English |
| topic |
Política Ideologia Eleição Partido político Rede social |
| spellingShingle |
Política Ideologia Eleição Partido político Rede social Souza, Rafael Martins de Graça, Luís Felipe Guedes da Silva, Ralph dos Santos Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives |
| description |
The use of social media has become increasingly widespread among citizens and politicians in Brazil. This means of communication served as a key arena for debate and propaganda during the 2014 legislative and presidential elections, when a very polarized political scenario emerged. New approaches have been developed that use information from the social network structure constructed by political actors on social media platforms, such as Twitter, in order to calculate ideal points. Can data from the decision to 'follow' a profile on Twitter be used to estimate politicians' ideological positions? Can approaches like this show the variance of political positions even within a very
fragmented legislative body, such as the Brazilian Chamber of Deputies? This article presents and analyzes the successful application of a Bayesian spatial model developed by Barberá (2015), using data from Brazil. This method allowed to capture differences between parties and political actors similar to those found by means of roll call votes. It also makes possible to calculate ideal points for actors who participate in the public debate, but are not professional politicians. |
| author2 |
Tribunal Superior Eleitoral |
| format |
Artigo |
| author |
Souza, Rafael Martins de Graça, Luís Felipe Guedes da Silva, Ralph dos Santos |
| title |
Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives |
| title_short |
Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives |
| title_full |
Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives |
| title_fullStr |
Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives |
| title_full_unstemmed |
Politics on the web : using Twitter to estimate the ideological positions of brazilian representatives |
| title_sort |
politics on the web : using twitter to estimate the ideological positions of brazilian representatives |
| publishDate |
2021 |
| url |
http://bibliotecadigital.tse.jus.br/xmlui/handle/bdtse/9073 |
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1813002229268873216 |
| score |
12,572524 |