Detection of Misinformation About COVID-19 in Brazilian Portuguese WhatsApp Messages

Martins, Aline Maria Araújo; Cabral, Lucas Manoel da Silva; Mourão, Pedro Jorge Chaves; Monteiro, José Maria; Machado, Javam C.

doi:10.1007/978-3-030-80599-9_18

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Services such as WhatsApp are among the most used in the country and are the primary means of disseminating such content. In this sense, Martins et al [2021] present the COVID-19.BR dataset from the collection and manual labeling of messages from public WhatsApp groups. Other research focuses on users who share misinformation, including Vijaykumar et al [2021], who look at existing patterns in people when exposed to misinformation online.…”

Section: Related Workmentioning

confidence: 99%

Characterizing the Diffusion of Misinformation Regarding the CoronaVac Vaccine in Brazil

Oliveira¹,

Paiva²,

Silva³

et al. 2022

Anais Do XI Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2022)

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The start of the vaccination against COVID-19 was an essential step towards the end of the pandemic. In Brazil, CoronaVac was the first vaccine to be applied in the immunization campaign, and it is one of the most used today. Still, CoronaVac has specific components that have driven the spread of misinformation online. In this work, we compare the dissemination of misinformation on Twitter about the approval of such a vaccine for adults and children. The results show that misinformation is significant on Twitter and there has been a substantial change in the style of such content shared between 2021 and 2022, moving from a false narrative about the development of the vaccine to raising suspicions on the approval process by the health regulatory agency.

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Section: Related Workmentioning

confidence: 99%

Characterizing the Diffusion of Misinformation Regarding the CoronaVac Vaccine in Brazil

Oliveira¹,

Paiva²,

Silva³

et al. 2022

Anais Do XI Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2022)

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“…Despite offering an unprecedentedly effective method of spreading relevant information, from entertainment to politics to large populations, digital platforms have also been reportedly exploited to host campaigns of misinformation dissemination Tardaguila et al (2018); . Such practice has been employed with various controversial purposes, from public opinion manipulation in the context of democratic processes Bessi and Ferrara (2016) ;Gomes Jr and Frizzon (2019); Machado et al (2019) to the encouragement of questionable health behaviours Ferrara (2020); Martins et al (2021). In all scenarios, it has the potential to boost radicalization and intensify social conflicts even beyond the online world Ribeiro et al (2019).…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Dataset of Brazilian Fact-Checking Stories

Marques

Salles

Couto

et al. 2022

jidm

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In recent years, digital platforms have become a powerful means for large scale information diffusion world-wide, particularly in Brazil. Understanding key aspects driving the misinformation diffusion process is of paramountimportance to the design and implementation of new tools to automatically detect misinformation content. In this scenario, fact-checking performed by high credibility agencies provide rich labeled data, which is fundamental to build tools capable of detecting and mitigating the effects of misinformation. This paper opens a novel dataset, referred to as FactCenter, to the research community, containing fact-check instances collected from 6 different Brazilian fact-checking agencies. This dataset has 11 647 fact-check instances, covering several topics and domains. We present an initial analysis of the data collected, enriched by data from Facebook, which demonstrates the potential of our repository for future studies.

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