The invention belongs to the technical field of computers, particularly provides a social robot detection method and system capable of blending user behaviors with text information, and aims to solvethe problem in the prior art that characteristics are manually selected, logicality and a time sequence between social media posts are ignored and the user behavior information of a social platform isignored. The social robot detection method comprises the following steps that: obtaining the historical network data and the friend network data of a social media user to be detected; on the basis ofthe above data, obtaining a user text characteristic vector, a behavior characteristic vector and a friend network characteristic network, and blending all vectors to obtain the user characteristic vector of the social media user to be detected; and detecting the user characteristic vector to output a detection result. The method disclosed by the invention more conforms to the own characteristicsof the social media, the social media user to be detected is analyzed from multiple dimensions, and detection accuracy is improved. The system also has the above beneficial effects.