@lexfridman (e.g., number of followers and number of tweets), and semantic information that can be extracted from a sample of user’s tweets (e.g., the minimum time interval between two consecutive tweets, the number of URLs).
@lexfridman Recent Twitter bot detection and spam detection models are mainly based on training machine learning models and deep neural networks after the implementation of proper
feature selection and feature engineering phases. These methods take advantage of user metadata information….