De onde vem a informação que circula em grupos bolsonaristas no WhatsApp

Santos, Nina; Chagas, Viktor; Marinho, Juliana Pinheiro

doi:10.19132/1807-8583202253.123603

Cited by 5 publications

(5 citation statements)

References 15 publications

(6 reference statements)

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“…In turn, for messages against the President, the most shared link is to the UOL portal, accounting for 20.7% of the total. It is important to highlight that this prevalence of one information source has been found by other studies (Alves, 2019;Santos, Chagas, Marinho, 2022), which shows the importance of virality of information in anti-science ecosystems.…”

Section: Analysis and Resultssupporting

confidence: 68%

Network Information Pro and Contra Bolsonaro's Discourse on Coronavirus

Santos

2023

jdsr

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This article analyzes the information sources of a corpus made of 135,000 tweets with the hashtags #Bolsonarotemrazão and #OBrasilprecisapararBolsonaro. By analyzing and categorizing the hyperlinks in these messages, the study investigates the information sources used in the construction of opposing discourses about the coronavirus, identifying the types of sources mobilized in both positions. The results indicate that while pro-Bolsonaro discourses prevail in alternative media, those containing hashtags opposing him come from diverse sources, especially traditional media. Drawing on the notion of mediation, the article argues for understanding information sources as an essential part of how the Twitter discussion about the coronavirus pandemic mediated this event for the two different hashtag publics.

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Section: Analysis and Resultssupporting

confidence: 68%

Network Information Pro and Contra Bolsonaro's Discourse on Coronavirus

Santos

2023

jdsr

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“…They also are consistent with results looking specifically at information about Bolsonaro in Brazil found on other platforms. In WhatsApp groups that support Bolsonaro, partisan personalities (or "political influencers") were previously identified as a particularly important source for shared content (Santos et al, 2022). Likewise, on Twitter, the former president's supporters were shown to be less likely to refer to legacy media organizations as well (Santos, 2021).…”

Section: Discussionmentioning

confidence: 99%

Domain-specific influence on Facebook: How topic matters when assessing influential accounts in four countries

Mont'Alverne,

Ross Arguedas,

Badrinathan

et al. 2023

JQD

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Against the backdrop of rising concern over misinformation and disinformation, a growing number of studies have considered the important role played by influential social media accounts when particular news stories attract attention online—with special attention given to Facebook, the most widely-used social network for news. However, little is known about what kinds of accounts are among the most influential information curators on Facebook, and where news organizations fit into this broader landscape. In this study, we examine how influence on Facebook plays out across different national contexts and different topics. We draw on a unique dataset from CrowdTangle, sampling over a six-month period in 2021 across four countries (Brazil, India, the United Kingdom, and the United States). We compare what kinds of sources (e.g., news organizations, politicians, or other kinds of influential accounts and groups) are among the most influential accounts in each location when it comes to three specific subjects: COVID-19, political leaders in each country, and climate change—which we also compare to general queries that do not specify a subject domain. Our findings show that the types of influential accounts on Facebook vary considerably by subject domain and country. News media accounts are among the largest share of these influential accounts in each country, but not necessarily the types of news media organizations presumed to be most influential offline.

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“…Embora a literatura especializada sobre desinformação nas mídias sociais seja extensa, o foco em websites ainda é reduzido (Bradshaw et al, 2020;Santos;Chagas;Marinho, 2022).…”

Section: Estudos Sobre a Monetização Da Desinformaçãounclassified

Modelos de financiamento da desinformação

Alves dos Santos Junior,

Washington Nichols

2024

E-COMPÓS

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Este artigo tem o objetivo de analisar quais são os modelos de financiamento de sites desinformativos do Brasil. Para isso, desenvolve um arcabouço teórico e analítico com base em estudos de economia política da comunicação, jornalismo e desinformação. Criamos um livro de código com cinco dimensões e aplicamos em uma amostra de 55 websites. Os resultados indicam a dependência de infraestruturas de publicidade programática, sobretudo o Google AdSense. Ao final, debatemos os achados com a literatura especializada e apontamos caminhos para estudos futuros.

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De onde vem a informação que circula em grupos bolsonaristas no WhatsApp

Cited by 5 publications

References 15 publications

Network Information Pro and Contra Bolsonaro's Discourse on Coronavirus

Network Information Pro and Contra Bolsonaro's Discourse on Coronavirus

Domain-specific influence on Facebook: How topic matters when assessing influential accounts in four countries

Modelos de financiamento da desinformação

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