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Ciência da Informação
Article . 2024 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Ciência Aberta Contra a Desinformação

da iniciativa resistente de uma ferramenta de timeline à estratégia informacional de referência para políticas públicas
Authors: Pimenta, Ricardo; Regly, Tainá; Belfort, Hugo; Silva, Anna Karla;

Ciência Aberta Contra a Desinformação

Abstract

O enfrentamento da desinformação no Brasil é uma tarefa multifacetada, demandando ações coordenadas entre diferentes atores. O objetivo do estudo consiste em, a partir do emprego de uma ferramenta de código aberto de coleta e organização de dados, analisar como as narrativas de desinformação referentes ao processo eleitoral no Brasil em 2022 se relacionam entre si e identificar possíveis padrões desinformacionais presentes nas notícias analisadas, por vezes, desmentidas por agências de checagem. As agências monitoradas foram: Aos fatos; Agência Lupa; Comprova; E-farsas; Estadão Verifica; Boatos.org; Fato ou Fake e Uol Confere. Já a análise dos dados foi realizada por outra ferramenta código aberto: Voyant Tools. Esse sistema opera de maneira online para realizar análise de textos, apoiando a leitura e interpretação de corpus textuais. Os resultados obtidos demonstram que as fake news e demais registros desinformacionais atuam de maneira similar à mecânica “trend topics” de redes sociais. Onde a capilaridade e a dinâmica de desinformação nunca foram uma legítima expressão cultural autêntica, mas sim um emprego, uma técnica, direcionada a neutralizar o então “oponente” de seus emissores. E nesse caso a bipolaridade narrativa da desinformação se revela marcante entre apenas dois candidatos: Bolsonaro e Lula.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average