Wechat is the most widely and frequently used mobile social media and has profoundly integrated into the daily life of many people. Sustainable development is a common challenge for all. Under this background, how to promote public participation in environmental communication has become an important topic. In this paper, a method is proposed to understand the motivating mechanism behind Wechat users’ environmental information-sharing behavior by taking China’s unique social and cultural background into account. A comprehensive theoretical model for this study is constructed based on the theory of use and satisfaction and the theory of planned behavior (TPB).Initially, the dataset is collected and annotated. The data is preprocessed using normalization method. The theory of use and satisfaction and TPB are employed for predicting the research status of Wechat utilization. For enhancing the accuracy of prediction, we employ Improved Grasshopper optimization algorithm (IGOA). The performance of the proposed system is analyzed and compared with the conventional approaches.