Um Método para Detecção de Bots Sociais Baseado em Redes Neurais Convolucionais Aplicadas em Mensagens Textuais

• Paulo A. Braz IME
• Ronaldo R. Goldschmidt IME

DOI: https://doi.org/10.5753/sbseg.2017.19524

Abstract

Currently, social networks are subject to social bots that perform malicious activities such as the dissemination of fake news. Some research to detect this type of malware is based on statistics extracted from the content of posted messages. Once the extraction of statistics may lead to information loss, this work aims to present experimental evidences that the use of original textual messages can improve detection accuracy. To this end, we propose a method that applies a convolutional neural network to identify suspicious messages. Good preliminary results with Twitter data indicate adequacy of the proposed method.

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