Um Modelo Baseado em Regras para a Detecção de bots no Twitter

  • Maria Alice Gomes Lopes Leite IFNMG
  • Marcus Vinicius Carvalho Guelpeli UFVJM
  • Caroline Queiroz Santos UFVJM

Resumo


O crescimento do uso das redes sociais online pela sociedade as tornou importantes fontes de estudos em vários campos, desde o mercado de ações e previsão de eleições até o comportamento humano. No entanto, amostras de dados extraídas dessas redes tornaram-se vulneráveis à atividade de contas bots. Por isso, este trabalho propõe uma abordagem supervisionada para extração de conhecimento a partir de uma base de dados da literatura, utilizando técnicas que visam não apenas classificar, mas também descrever as principais características dos bots e das contas genuínas no Twitter. O modelo de classificação baseado em regras foi gerado com o objetivo de contribuir para a construção de um framework para coletar dados do Twitter com pouca interferência de contas maliciosas. Os resultados foram considerados satisfatórios, se comparados a outros trabalhos relacionados.

Palavras-chave: Twitter, Bots, Filtro para bots, Redes Sociais, Indução de Regras

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Publicado
30/06/2020
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LEITE, Maria Alice Gomes Lopes; GUELPELI, Marcus Vinicius Carvalho; SANTOS, Caroline Queiroz. Um Modelo Baseado em Regras para a Detecção de bots no Twitter. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 9. , 2020, Cuiabá. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 37-48. ISSN 2595-6094. DOI: https://doi.org/10.5753/brasnam.2020.11161.