Recognition of Compromised Accounts on Twitter

  • Rodrigo Igawa Universidade Estadual de Londrina
  • Alex Almeida Universidade Estadual de Londrina
  • Bruno Zarpelão Universidade Estadual de Londrina
  • Sylvio Jr Universidade Estadual de Londrina


In this work, we propose an approach for recognition of compromised Twitter accounts based on Authorship Verification. Our solution can detect accounts that became compromised by analysing their user writing styles. This way, when an account content does not match its user writing style, we affirm that the account has been compromised, similar to Authorship Verification. Our approach follows the profile-based paradigm and uses N-grams as its kernel. Then, a threshold is found to represent the boundary of an account writing style. Experiments were performed using a subsampled dataset from Twitter. Experimental results showed that the developed model is very suitable for compromised recognition of Online Social Networks accounts due to the capability of recognize user styles over 95% accuracy.

Palavras-chave: Verificação de autoria, Contas comprometidas, N-gramas


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IGAWA, Rodrigo; ALMEIDA, Alex; ZARPELÃO, Bruno; JR, Sylvio. Recognition of Compromised Accounts on Twitter. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 11. , 2015, Goiânia. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2015 . p. 9-14. DOI: