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Analysis of the Twitter Interactions during the Impeachment of Brazilian President

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dc.contributor.author de França, Fabrício Olivetti
dc.contributor.author Goya, Denise
dc.contributor.author Penteado, Claudio Camargo
dc.date.accessioned 2017-12-28T00:56:26Z
dc.date.available 2017-12-28T00:56:26Z
dc.date.issued 2018-01-03
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50140
dc.description.abstract The impeachment process that took place in Brazil on April, 2016, generated a large amount of posts on Internet Social Networks. These posts came from ordinary people, journalists, traditional and independent media, politicians and supporters. Interactions among users, by sharing news or opinions, can show the dynamics of communication inter and intra groups. This paper proposes a method for social networks interactions analysis by using motifs, frequent interactions patterns in network. This method is then applied to analyze data extracted from Twitter during the voting for the impeachment of the Brazilian president. Results of this analysis highlight the behavior of some users by retweeting each other to increase the importance of their opinion or to reach visibility. In addition, interaction patterns reveal that messages from one group (against/in favor of impeachment) rarely propagate to the opposing group. As such, this brings evidence that Social Networks may not stimulate a debate, but reaffirm users’ beliefs.
dc.format.extent 8 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Network Analysis of Digital and Social Media
dc.subject Brazil, Impeachment, Network analysis, Twitter
dc.title Analysis of the Twitter Interactions during the Impeachment of Brazilian President
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2018.253
Appears in Collections: Network Analysis of Digital and Social Media


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