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RCMOS - Revista Científica Multidisciplinar O Saber
Article . 2024 . Peer-reviewed
License: CC BY
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Etnografia virtual

informações divulgadas nas redes sociais sobre a covid-19 e vacinas
Authors: João Lucas Santos; Crystian Pinheiro Aguiar; Ana Beatriz Da Rocha Silva; Delma Holanda;

Etnografia virtual

Abstract

O presente trabalho visa mostrar que pesquisas realizadas em ambientes online, principalmente em locais que parecem inadequados para a construção do conhecimento científi co, não são seguras. O ambiente virtual está sendo aprimorado a cada dia e evoluindo para fornecer um modo de recurso mais facilitador para as pessoas, ao longo do tempo se tornou algo muito problemático em relação à disseminação de desinformação sobre as vacinas Sars Covid-2. Tendo como suporte metodológico a Etnografi a, em postagens no TikTok, Instagram e Youtube como lócus de produção de dados, relacionados a compartilhamentos, curtidas, comentários e visualizações. Para ter uma base sobre as ocorrências de fake News sobre o tema vacinas da Covid-19. Os tópicos de pesquisa utilizados foram ter uma base em relação ao tema de um ambiente virtual, feito com a veiculação de notícias e informações referentes ao conhecimento de vacinas da Sars Covid-2, para o público que mais frequenta as redes sociais em suas postagens e compartilhamento. O que se percebe é que a maioria das pessoas compartilha informações falsas que acreditam serem corretas, por conclusões próprias ou opiniões de terceiros, sem saber ao certo o que está sendo divulgado e sem nenhuma comprovação científi ca, podem colocar a vida de outras pessoas em risco.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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