Authors:
Ivandro Claudino
;
Luciano Galic
;
Wellington Franco
;
Thiago Gadelha
;
José Maria Monteiro
and
Javam Machado
Affiliation:
Universidade Federal do Ceará, Brazil
Keyword(s):
Big Data, Misinformation Monitoring, Platform, Social Networks.
Abstract:
The large-scale dissemination of misinformation through social media has become a critical issue, harming social stability, democracy, and public health. The WhatsApp instant messaging application is very popular in Brazil, with more than 165 million users. On the other hand, in just one year, the proportion of smartphones with Telegram installed grew in Brazil from 45% to 60% in 2022. If on one hand, these platforms offer security and privacy to its users, on other hand they are spaces with little or no moderation. Consequently,they have been used to spread misinformation. In this context, we present BATMAN, a Big Data Platform for Misinformation Monitoring, a real-time platform for finding, gathering, analyzing, and visualizing misinformation in social networks, in particular, in instant message applications such as WhatsApp and Telegram. To evaluate the proposed platform, we used it to build two different messages datasets, concerning the Brazilian general elections campaign in 20
22, obtained from public chat groups on WhatsApp and Telegram, respectively.
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