Brazilian Political Science Review (BPSR) is committed to the diffusion of high-work produced on topics of political science and international relations, thereby contributing to the exchange of ideas in the international political science community and the internationalization of scientific knowledge produced in Brazil.
Notice to Readers: All the datasets published by the Brazilian Political Science Review are available at: https://dataverse.harvard.edu/dataverse/bpsr
Brazilian Political Science Review (BPSR) is committed to the diffusion of high-work produced on topics of political science and international relations, thereby contributing to the exchange of ideas in the international political science community and the internationalization of scientific knowledge produced in Brazil.
Notice to Readers: All the datasets published by the Brazilian Political Science Review are available at: https://dataverse.harvard.edu/dataverse/bpsr
File Name: Base-de-Dados-Artigo-BPSR_-23-de-julho
File Type: xlsx
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Download31/Dec/2019
Francisco Paulo Jamil Marques
, Fellipe Herman
, Andressa Butture Kniess
, Jackeline Saori Teixeira
DOI: 10.1590/1981-3821201900030005
The objective of this article is to analyze the content of public communications in situations of political crisis. We aim to establish whether and to what extent there was partisan instrumentalization of the digital social media channels administered by State institutions during the impeachment of Dilma Rousseff. We analyzed all posts published between 2015 and 2016 on the official Twitter profiles of Brazil’s Chamber of Deputies, Federal Senate, Presidential Palace and Federal Supreme Court. We considered all posts with the […]
Keywords: impeachment; Political communication; public communication; social media; Twitter
07/Nov/2017
Rafael Martins de Souza, Luís Felipe Guedes da Graça, Ralph dos Santos Silva
DOI: 10.1590/1981-3821201700030003
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 […]
Keywords: Bayesian inference; Brazil; election campaigns; political participation; social media