Data mining applied in fake news classification through textual patterns

  • Marcos Paulo Moraes UFRJ
  • Jonice de Oliveira Sampaio UFRJ
  • Anderson Cordeiro Charles UFRJ


Fake news has been around for a long time. But with the advancement of social media and internet access, fake news has become a bigger problem. Because of the rapid spread in social media and instant messaging applications, fake news can reach more people in less time by directly influencing democratic processes, leveraging security issues that sometimes lead to tragic ends. In order to promote a fast and automated method of fake news identification, in this study, we performed an analysis of false Brazilian news, identifying writing patterns through natural language processing and machine learning.


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MORAES, Marcos Paulo; SAMPAIO, Jonice de Oliveira; CHARLES, Anderson Cordeiro. Data mining applied in fake news classification through textual patterns. In: WORKSHOP DE TRABALHOS DE INICIAÇÃO CIENTÍFICA - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 26. , 2020, São Luís. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 49-52. ISSN 2596-1683. DOI: