The model for the repeated propagation of information from constant spreaders based on individual cognition levels

Abstract

On social media platforms, high-impact disseminators act as fixed sources of crucial news, consistently affecting information dissemination. Throughout the process of repeated information dissemination, the audience’s cognition gradually evolves, thereby shaping the pattern and effectiveness of information dissemination. In this study, we present a comprehensive analytical framework and a model for repeated information dissemination, to explain the dynamics of information flow from fixed communicators on social media platforms as well as the dynamic evolution of audience cognition. The model incorporates periodic information sources and considers the directionality of propagation. Through quantitative analysis, we assess the evolution of audience cognition during repeated dissemination and investigate the impact of source complexity, dissemination periodicity, audience psychological fatigue, and cognitive disparities on dissemination effectiveness. Theoretical analysis reveals periodic solutions and threshold conditions for persistence in information dissemination. Furthermore, our research finds that moderate propaganda frequency and intensity can enhance dissemination effectiveness; whereas excessive propaganda may induce fatigue and reduce audience cognition efficacy. Empirical validation of the model demonstrates its effectiveness, offering new perspectives and scientific basis for understanding mechanisms of social media information dissemination and optimizing strategies for news dissemination.