Relating Actors, Links, and Discourses with (Fake) Scientific Claims About COVID-19 on Twitter
Piaia, Victor Rabello; Almeida, Sabrina Karlla Oliveira de; Dourado, Tatiana; Canavarro, Marcela; Dienstbach, Dalby; Cordeiro, Maria Sirleidy; Roberto, Lucas; Carvalho, Danilo
O documento é disponibilizado pela fonte de origem, que mantém a versão integral e as condições de uso.
Resumo
This article looks at discourses using alleged scientific sources to
 support or oppose political positions on the COVID-19 pandemic in Brazil.
 Analysis: The authors analyzed more than 3.3 million tweets, sorted according
 to linguistic rules, from a broader database of tweets related to the pandemic.
 The focus of this analysis was tweets containing affirmations, allusions, or
 questionings allegedly referring to scientific studies and hypotheses or
 authoritative sources in order to legitimize a position as being based on scientific
 truth.
 Conclusion and implication: The study shows that scientific sources are largely
 mobilized in networks of information and disinformation and are heavily
 present in a vast proportion of anti-science and negationist arguments.
Ficha do documento
- Tipo
- Artigo científico
- Ano
- 2023
- Instituição
- Fundação Getulio Vargas
- Fonte
- Repositório da FGV
- Idioma
- Inglês
- Acesso
- Não informado
- Identificador
- oai:repositorio.fgv.br:10438/34435
- Temas
- Tecnologia
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