Notícia boa é a notícia ruim? Critérios de noticiabilidade no compartilhamento de notícias em três países

• Ano de defesa: 2021
• Autor(a) principal: Souza, Ana Beatriz Leite de
• Orientador(a): Sousa, Diógenes Lycarião Barreto de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Compartilhamento de notícias; Facebook; Critérios de noticiabilidade
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/60596

Social media have played an increasingly important role in the news flow. Amidst several content producers and algorithmic mediation, the news flow on these platforms is enhanced by common users, who share journalistic content through their personal profiles. Based on newsworthiness, a range of research investigate criteria that can help to predict the patterns of news sharing, namely, shareworthiness (TRILLING; TOLOCHKO; BURSCHER, 2017) and how it appears in different contexts. This research investigates the effect of news factors on news sharing on Facebook, in a comparative perspective between Brazil, the United States and Canada, countries with different levels of political stability. To this end, we performed a content analysis of the news published on Facebook during a continuous week in 2016 (n = 1658), by the two news media’s largest pages in each country. They are G1 and Veja (Brazil), Fox News and The New York Times (USA), Global News and CBC News (Canada). Based on Eilder's conception of newsworthiness (2006) and on the state of the art drawn from the empirical studies on news sharing published in the last two decades, we raised six hypotheses about the effect of success, damage, controversy/conflict, influence, proeminence and proximity factors on sharing patterns and the expected differences between countries. The main difference in the sharing patterns of the countries was related to the controversy/conflict factor, corresponding to the context of each country during the sample period. The main similarity was related to the damage factor, that is, negative news. It showed the most stable effect with the greatest statistical significance, which suggests the relevance of this type of news on audience engagement. KEYWORDS: News sharing; Facebook; Newsworthiness