Content-centric computing systems, which can obtain users' attributes by analyzing information from content, have been widely used in many fields. In social networks, the computing resources of users are restricted. Group authentication schemes are required to ensure the validity of the user and the accuracy of the shared data. In this paper, we propose a content-centric group user authentication scheme to guarantee the security and accuracy of shared data. The proposed group user authentication scheme makes use of the user's content to generate the user's feature vector. Furthermore, the group authentication scheme based on the identity of each user can guarantee the network security before data sharing. In addition, regular operations in the network are not affected or damaged by incidents that occur during the authentication process. The security and performance analyses show that our scheme is secure against various attacks and has lower computational cost than the existing schemes.