M Pinto
Papers
1
Total Citations
6
H-Index
1
About
Dr. M. Pinto is a researcher at the forefront of cybersecurity and social media analysis, with a primary focus on detecting automated and malicious online behavior. Their most impactful work centers on the critical challenge of identifying bot accounts on social platforms, particularly Twitter. In their highly cited 2019 paper, "Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents," Dr. Pinto introduced an innovative approach that leverages two-dimensional Convolutional Neural Networks (CNNs) to analyze user-generated content. This method, which has garnered 6 citations, represents a significant advancement in distinguishing between human users and autonomous bots that proliferate scams, false information, and unwanted advertisements. By applying deep learning techniques to the structural patterns of user posts, Dr. Pinto’s work provides a more robust and scalable solution to a growing problem in digital trust and safety. Their research is essential for social media platforms, cybersecurity professionals, and policymakers aiming to combat misinformation and protect online communities. Dr. Pinto’s contributions continue to influence the development of more sophisticated detection systems in the ever-evolving landscape of automated web activity.
Research Focus
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Top Papers
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