O clickbait no ciberjornalismo português e brasileiro: o caso português

Bibliographic Details
Main Author: Zamith, Fernando
Publication Date: 2019
Format: Book
Language: por
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/130312
Summary: The paper aims to analyze the incidence of clickbait in Portuguese and Brazilian online journalism. It is part of an activity carried out jointly by Brazilian and Portuguese researchers, in which each group carried out the verification in the Web and Facebook pages of 18 general information vehicles of such countries, each having national coverage, as well as its own production and frequent updates. This article presents the results found in the Portuguese sample that shows a high clickbait index, of 39,6%, when cross-checking the general data. On the other hand, the values are reduced when we look at the 32 indicators individually, all of them with rates below 10%.
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spelling O clickbait no ciberjornalismo português e brasileiro: o caso portuguêsCiências da comunicaçãoCommunication sciencesThe paper aims to analyze the incidence of clickbait in Portuguese and Brazilian online journalism. It is part of an activity carried out jointly by Brazilian and Portuguese researchers, in which each group carried out the verification in the Web and Facebook pages of 18 general information vehicles of such countries, each having national coverage, as well as its own production and frequent updates. This article presents the results found in the Portuguese sample that shows a high clickbait index, of 39,6%, when cross-checking the general data. On the other hand, the values are reduced when we look at the 32 indicators individually, all of them with rates below 10%.20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/130312porZamith, Fernandoinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T18:34:35Zoai:repositorio-aberto.up.pt:10216/130312Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:52:25.915047Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv O clickbait no ciberjornalismo português e brasileiro: o caso português
title O clickbait no ciberjornalismo português e brasileiro: o caso português
spellingShingle O clickbait no ciberjornalismo português e brasileiro: o caso português
Zamith, Fernando
Ciências da comunicação
Communication sciences
title_short O clickbait no ciberjornalismo português e brasileiro: o caso português
title_full O clickbait no ciberjornalismo português e brasileiro: o caso português
title_fullStr O clickbait no ciberjornalismo português e brasileiro: o caso português
title_full_unstemmed O clickbait no ciberjornalismo português e brasileiro: o caso português
title_sort O clickbait no ciberjornalismo português e brasileiro: o caso português
author Zamith, Fernando
author_facet Zamith, Fernando
author_role author
dc.contributor.author.fl_str_mv Zamith, Fernando
dc.subject.por.fl_str_mv Ciências da comunicação
Communication sciences
topic Ciências da comunicação
Communication sciences
description The paper aims to analyze the incidence of clickbait in Portuguese and Brazilian online journalism. It is part of an activity carried out jointly by Brazilian and Portuguese researchers, in which each group carried out the verification in the Web and Facebook pages of 18 general information vehicles of such countries, each having national coverage, as well as its own production and frequent updates. This article presents the results found in the Portuguese sample that shows a high clickbait index, of 39,6%, when cross-checking the general data. On the other hand, the values are reduced when we look at the 32 indicators individually, all of them with rates below 10%.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
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dc.language.iso.fl_str_mv por
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