dc.creatorChicarino, Tathiana Senne
dc.creatorPenteado, Claudio
dc.creatorBachini, Natasha
dc.creatorMalina, Pedro
dc.creatorLobo, Denis Carneiro
dc.date2018-02-22
dc.date2022-03-17T19:07:39Z
dc.date2022-03-17T19:07:39Z
dc.date.accessioned2023-08-23T16:25:59Z
dc.date.available2023-08-23T16:25:59Z
dc.identifierhttps://revistas.pucsp.br/index.php/aurora/article/view/36195
dc.identifierhttp://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/54019
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8372870
dc.descriptionIn order to observe the uses of Twitter in the 2016 São Paulo mayoral election, this article presents a predominantly quantitative analysis of the digital campaigns carried out by the main candidates Celso Russomano (PRB); Fernando Haddad (PT); João Dória (PSDB); Luiza Erundina (PSOL); Marta Suplicy (PMDB); Major Olímpio (SD) and Ricardo Young (REDE). Researchers from  NEAMP (PUC/SP - Brazil) and DMRC (QUT - Australia) combined Big Data analysis techniques to verify the continuities and innovations in two main variables: (1) the current digital campaign strategies compared to previous ones and (2) the candidates/followers interactions. The results pointed to a correlation between the broadening of political issue debate on social media and the increase of personalistic contents along with the reduction of the candidate/follower interactive dialogues.
dc.formatapplication/pdf
dc.languageeng
dc.publisherPontifícia Universidade Católica de São Paulo
dc.relationhttps://revistas.pucsp.br/index.php/aurora/article/view/36195/24865
dc.rightsCopyright (c) 2018 Aurora. Revista de Arte, Mídia e Política
dc.sourceAurora. ; v. 10 n. 30 (2018): Dossiê Centenário da Revolução Russa; 180-199
dc.source1982-6672
dc.subjectTwitter
dc.subjectBig data
dc.subject2016 São Paulo Mayoral Election
dc.subjectDigital Campaigns
dc.subjectSocial Media Political Campaigns.
dc.titleAn Election of Self-Centered Tweets: Analysis of Twitter Usage in the 2016 São Paulo Mayoral Election
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeAvaliação pelos pares


Este ítem pertenece a la siguiente institución