{"title":"A memória teleafetiva: os elementos de sedução da programação Déjà Vu","authors":"Mário Abel Bressan Júnior","doi":"10.18226/21782687.v17.n34.06","DOIUrl":null,"url":null,"abstract":"This paper aims to analyze the memory elements of the canal Viva viewers. Found in Twitter posts, these elements are able to justify the audience and promote teleaffective relationship to the channel schedule. Beyond bibliographic references, the Content Analysis (AC) of Laurence Bardin, classifying and categorizing the data lines were used as methodological procedures. The result showed that the feeling when you are missing someone, fun and the nostalgic h t t p : / / w w w . u c s . b r / e t c / r e v i s t a s / i n d e x . p h p / c o n e x a o D O I 1 0 . 1 8 2 2 6 / 2 1 7 8 2 6 8 7 . v 1 7 . n 3 4 . 0 6","PeriodicalId":40407,"journal":{"name":"Conexao-Comunicacao e Cultura","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conexao-Comunicacao e Cultura","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18226/21782687.v17.n34.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper aims to analyze the memory elements of the canal Viva viewers. Found in Twitter posts, these elements are able to justify the audience and promote teleaffective relationship to the channel schedule. Beyond bibliographic references, the Content Analysis (AC) of Laurence Bardin, classifying and categorizing the data lines were used as methodological procedures. The result showed that the feeling when you are missing someone, fun and the nostalgic h t t p : / / w w w . u c s . b r / e t c / r e v i s t a s / i n d e x . p h p / c o n e x a o D O I 1 0 . 1 8 2 2 6 / 2 1 7 8 2 6 8 7 . v 1 7 . n 3 4 . 0 6
本文旨在分析运河Viva观测者的记忆元素。在推特帖子中,这些元素能够证明观众的合理性,并促进与频道时间表的情感关系。除了参考文献,劳伦斯·巴丁的内容分析(AC),对数据线进行分类和分类,被用作方法论程序。结果表明,当你想念一个人时的感觉,有趣和怀旧。u c s。b r/e t c/r e v i s t a s/i n d e x。p h p/c o n e x a o D o I 10。1 8 2 6/2 1 7 8 2 6 8 7。v 17。n 3 4。0 6