Detecção de Fake News em Língua Portuguesa Combinando Redes Neurais Convolucionais e Algoritmos de Aprendizagem de Máquina

• Felipe Sousa IFCE
• Alice Barbosa IFCE
• Carina Oliveira IFCE
• Reinaldo Braga IFCE

DOI: https://doi.org/10.5753/sbrc.2022.222325

Abstract

The popularization of social media has been a facilitator of access to information. However, the growing volume of news sharing has increased concern around "fake news", due to its potential for manipulation of public opinion. Therefore, this article presents a proposal for the analysis of news in Portuguese and the detection of fake news, using Machine Learning and Convolutional Neural Networks. For this purpose, the Fake.Br database was used, which presents 7,200 news articles in Portuguese. The study carried out focused on analyzing both the texts and their respective metadata. Thus, after an analysis of the selected algorithms, an accuracy of 97% was obtained.

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