COMPUTATIONAL MODEL FOR REGISTERING INFODEMIA ABOUT COVID-19 IN SOCIAL NETWORK APPLICATIONS

Authors

Keywords:

infodemic, fake news, computational model

Abstract

The COVID-19 pandemic generated a large volume of information that was quickly spread and disseminated in society. The infodemic is caused by the ability of social networks to increase the flow of information sharing, making it easier to spread false news and more difficult to differ from true news. Thus, it is necessary to use a computational model to classify information, aimed at detecting fake news. Therefore, an application was idealized which allows the registration of information in text or image format, which are classified by an algorithm and presented in a panel, thus facilitating the verification of the veracity of this information.

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Author Biographies

Fernanda Vasques Ferreira, Professor at the Postgraduate Program in Communication at the Federal University of Mato Grosso - Brazil

Doctorate in Communication from the University of Brasilia, with a Postdoctoral degree in Computational Modeling and Industrial Technology from National Industrial Apprenticeship Service. Professor at the University of Brasilia

Leandro Brito Santos, Professor at the Federal University of Western Bahia - Brazil

Doctorate in Computational Modeling and Industrial Technology by the National Service of Industrial Learning

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Published

2023-05-07

How to Cite

Cerqueira, E. L. da S., Silva, M. F. da, Nascimento, V. G., Ferreira, F. V., & Santos, L. B. (2023). COMPUTATIONAL MODEL FOR REGISTERING INFODEMIA ABOUT COVID-19 IN SOCIAL NETWORK APPLICATIONS. Cenas Educacionais, 6, e16255. Retrieved from https://www.revistas.uneb.br/index.php/cenaseducacionais/article/view/16255

Issue

Vol. 6 (2023): PUBLICAÇÃO CONTÍNUA

Section

Dossiê Temático ENSINO, EDUCAÇÃO E TECNOLOGIA

License

Copyright (c) 2023 Emily Lorane da Silva Cerqueira, Mariana Farias da Silva, Vinicius Gama Nascimento, Fernanda Vasques Ferreira, Leandro Brito Santos

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