Online robot identification by differentiating abnormal behaviors of WeChat users

摘要

The identification of online robot is important for managing the internet order, such as forbidding spam, fictitious information, and inductive words published by online robot to mislead the public. We studied the behaviors of the WeChat users to identify online robot, including turning pages, scanning the web, and forwarding posts. In fact, the amount and time interval of information forwarding were applied to differentiate the abnormal behaviors of WeChat users. Furthermore, we employed information entropy to measure the amount and time interval of information forwarding of WeChat users. The results indicate that the amount of online robot is much less than normal users. What's more, online robots' behavior is abnormal apparently and this identification method is effective.