Social media (SM) use has become ubiquitous in adolescent life, raising concerns about its impact on their mental health. While research has identified links between excessive SM use and negative mental health outcomes, the relationship remains complex. The authors propose a novel function-based framework and algorithm that aids clinicians in evaluating SM use, independent of platform-specific knowledge. By eliciting the patterns of engagement and social interactions, the proposed framework aims to identify associated risk and resilience factors, thereby informing screening, assessment, and intervention strategies for adolescents in this ever-growing digital landscape.