The purpose of the work was to study the problem of identifying bot accounts in social networks. Bot identification is a classification of user accounts based on the analysis of account parameters and publications. The paper provides an overview of machine learning-based bot detection methods such as decision tree, logistic regression, and naive Bayes classifier.
https://ieeexplore.ieee.org/document/9470605
