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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Shares, Pins, and Tweets News readership from daily papers to social media

Texto completo
Autor(es):
Bastos, Marco Toledo
Número total de Autores: 1
Tipo de documento: Artigo Científico
Fonte: JOURNALISM STUDIES; v. 16, n. 3, p. 305-325, MAY 4 2015.
Citações Web of Science: 36
Resumo

This paper compares the volume of news articles per section in newspapers and social media platforms. To this end, two weeks of news articles were retrieved by querying the public Application Programming Interfaces (APIs) of The New York Times and The Guardian and the diffusion of each article on social media platforms Twitter, Facebook, Google+, Delicious, Pinterest, and StumbleUpon, was tracked. The results show significant differences in the topics emphasized by newspaper editors and social media users. While users of social media platforms favor opinion pieces, along with national, local, and world news, in sharp contrast the decision of news editors emphasized sports and the economy, but also entertainment and celebrity news. Common to social networking sites is the prevalence of items about arts, technology, and opinion pieces. Niche social networks like StumbleUpon and Delicious presented a greater volume of articles about science and technology, while Pinterest is mostly dedicated to fashion, arts, lifestyle, and entertainment. Twitter is the only social network to have presented a statistically significant correlation with the distribution of news items per section by The Guardian and The New York Times. The results of this study provide a bridge between journalism and audience research and present evidence of the differences between readership in social and legacy media. (AU)

Processo FAPESP: 11/22495-6 - Notícia em rede: a produção da notícia no Twitter
Beneficiário:Marco Toledo de Assis Bastos
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
Processo FAPESP: 10/06243-4 - NETCLUSTERING: um modelo teórico para redes emergentes
Beneficiário:Marco Toledo de Assis Bastos
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado