<p>The growth of social networks has transformed social interactions, communication dynamics, and information dissemination. These social platforms have created complex systems in which user behavior plays an effective role in the information dissemination process. This paper introduces a novel CLAIPRD (Candidate, Latent, Active, Influential, Problematic, Recovered, and Detached) dissemination model, which incorporates three behavioral dimensions, peer influence (popularity-seeking), compulsive engagement (problematic use), and awareness (self-regulation). This seven-state framework captures the multifaceted roles of users in the dissemination process by explicitly modeling their behavioral transitions. A system of differential equations is formulated to describe the transitions among these states, enabling both qualitative and quantitative analyses. The equilibrium points and their stability properties are analyzed to determine the conditions under which information dissemination either stabilizes or persists. Additionally, the basic reproduction number is derived to quantify the potential for large-scale dissemination across the network, serving as a central element of the comprehensive dynamical analysis. The proposed model enhances understanding of the interplay between user behavior and information diffusion, offering a robust framework for analyzing and managing information flow in social networks. Numerical simulations are performed to validate the theoretical results, thereby establishing a solid foundation that deepens understanding of the complex dynamics underlying information diffusion in social networks.</p>