Platform-based academic interaction and self-regulated learning in a WeChat-centered social media environment: information overload, perceived control, and information anxiety.

Social media platforms increasingly support course communication, peer collaboration, and academic information exchange within university learning. In China, these activities are frequently embedded in WeChat-centered communication streams characterized by persistent connectivity, fragmented information sharing, and overlap between academic and personal communication. Drawing on cognitive load theory, control-value theory, and social cognitive theory, this study examined how platform-based academic interaction was associated with self-regulated learning through information overload, perceived control, and information anxiety. Survey data were collected from 846 Chinese university students, of whom 98.5% reported using WeChat for academic purposes and 91.7% identified WeChat as their primary academic communication platform. Structural equation modeling indicated a positive direct association between platform-based academic interaction and self-regulated learning, while the estimated indirect associations involving information overload, perceived control, and information anxiety were negative and larger in absolute magnitude, yielding a negative estimated total association. Higher perceived information literacy was associated with a weaker positive relationship between information overload and information anxiety, whereas higher learning self-efficacy was associated with a weaker negative relationship between information anxiety and self-regulated learning. The information overload to information anxiety association differed across academic stages and was strongest among master's students. These findings identify information-processing demand, regulatory appraisal, and information-related anxiety as distinct processes associated with self-regulated learning in a WeChat-centered social media environment. The cross-sectional self-report design limits temporal and causal inference.