COVID19.BR: A Dataset of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages | Zendy

Antônio Diogo Forte Martins | Zendy; Lucas Cabral | Zendy; Pedro Jorge Chaves Mourão | Zendy; Ivandro Claudino de Sá | Zendy; José Maria Monteiro | Zendy; Javam C. Machado | Zendy

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COVID19.BR: A Dataset of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages

Author(s) -

Antônio Diogo Forte Martins,

Lucas Cabral,

Pedro Jorge Chaves Mourão,

Ivandro Claudino de Sá,

José Maria Monteiro,

Javam C. Machado

Publication year - 2021

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/dsw.2021.17422

Subject(s) - misinformation , portuguese , context (archaeology) , covid-19 , internet privacy , set (abstract data type) , brazilian portuguese , computer science , social media , data set , world wide web , computer security , artificial intelligence , medicine , geography , philosophy , linguistics , disease , archaeology , pathology , infectious disease (medical specialty) , programming language

Nowadays, our society suffers with a major issue that unfortunately is becoming more and more problematic, once again through social networks, that is the misinformation. The primary source of misinformation in Brazil is the messaging application WhatsApp. However, due to WhatsApp's private messaging nature, there still few misinformation data sets built specifically from this platform. In this context, building a data set of WhatsApp messages about COVID-19 in Brazilian Portuguese and label misinformation messages within it becomes a crucial challenge. In this work, we present the COVID-19.BR, a data set of WhatsApp messages about coronavirus in Brazilian Portuguese, collected from Brazilian public groups and manually labeled.

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