[Purpose/significance] To delve into the potential worth of intelligent technology in resolving the problem of misinformation, comprehending the mechanisms of human-computer interaction regarding users' perception of infor⁃mation and their information behavior can facilitate internet platforms in designing appropriate intelligent systems to as⁃sist the public in strengthening their ability to identify misinformation. [Method/process] Based on the framework of social cognitive theory, Two-way ANOVA and One-way ANOVA are employed to analyze the data collected through laboratory experiment methods. This paper explores the differences between whether the interaction objects are human experts or intelligent systems and the mode of independent interaction or group interaction to enhance the public's abili⁃ty to discriminate information. [Result/conclusion] Users' cognition of interactive objects and interaction mode will have a cross-effect on information literacy ability and perception of information authenticity. During the process of hu⁃
man-computer interaction with intelligent systems, simultaneous participation in group interaction will significantly en⁃hance the information literacy ability, raise the perception level of information authenticity, and reduce the "like" be⁃havior of misinformation.