Reports on Machine Learning from Ho Chi Minh City University of Technology Provide New Insights (Supervised Learning Models for Social Bot Detection: Literature Review and Benchmark).

A report from Ho Chi Minh City University of Technology in Vietnam discusses the use of machine learning for detecting social bots on online social networks like Twitter and Facebook. These bots are designed to mimic real accounts and are often used for malicious purposes such as spreading false information or spam. The report provides a systematic overview of supervised learning methodologies for detecting social bots, ranging from shallow learning to deep learning models. The researchers also introduce a framework for evaluating the performance of these methods using two datasets of labeled Twitter accounts. The results of this research can serve as a practical guideline for other bot detection research or applications that utilize machine learning techniques. [Extracted from the article]