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This paper aims to present how the application of Natural Language Processing(NLP) and data augmentation techniques can improve the performance of a neuralnetwork for better detection of fake news in the Portuguese language. Fake newsis one of the main controversies during the growth of the internet in the lastdecade. Verifying what is fact and what is false has proven to be a difficulttask, while the dissemination of false news is much faster, which leads to theneed for the creation of tools that, automated, assist in the process ofverification of what is fact and what is false. In order to bring a solution,an experiment was developed with neural network using news, real and fake,which were never seen by artificial intelligence (AI). There was a significantperformance in the news classification after the application of the mentionedtechniques.

The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-19