Combatendo Fake News nas Redes Sociais via Crowd Signals Implícitos

  • Paulo Freire Instituto Militar de Engenharia
  • Ronaldo Goldschmidt Instituto Militar de Engenharia


A disseminação de Fake News é um problema conhecido nas redes sociais. Uma das principais abordagens para detectar, automaticamente, este tipo de notícia é baseada na reputação, em especial a que utiliza Crowd Signals. Embora promissora, esta abordagem depende de informações nem sempre disponíveis: a opinião explícita dos usuários sobre as notícias serem fake ou não. Para superar esta desvantagem, este artigo propõe um método, baseado em Crowd Signals Implícitos, que não exige a opinião explícita dos usuários. Experimentos forneceram evidências de que o método proposto pode detectar Fake News sem exigir a opinião explícita dos usuários e sem comprometer os resultados obtidos pelo estado da arte dos métodos baseados em Crowd Signals.

Palavras-chave: Fake news, social media, crowd signals


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FREIRE, Paulo; GOLDSCHMIDT, Ronaldo. Combatendo Fake News nas Redes Sociais via Crowd Signals Implícitos. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 16. , 2019, Salvador. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 424-435. DOI: