Abstract: The characteristics of different types of social robots on large online social platforms such as Twitter, Facebook and Sina Weibo are reviewed in this paper. Based on the social robot detection framework, the advantages and disadvantages and applicability of social robot detection models based on machine learning, deep learning and other emerging detection methods are summarized and analyzed. It is found that social robots with different platforms and attack targets need to extract multi-dimensional features and design corresponding detection methods. Finally, this paper deeply explores and analyzes how to reduce the harm of social robots and measures to cope with the challenges of coexistence between human and social robots, and discusses and looks forward to how to improve the recognition accuracy and the development of hot technologies.