In the contemporary digital landscape, the volume and velocity of information exchange have outpaced traditional institutional capacities for evaluation, leading to a systemic crisis in information quality and epistemic trust. This paper proposes the Community Driven Information Evaluation Model (CDIEM), a standardized yet adaptable framework for the participatory evaluation of information. Unlike binary sentiment-based systems or centralized fact-checking, CDIEM employs a multidimensional set of ten functionally sufficient parameters—ranging from rationality and factuality to aesthetics and integrative value—to capture both the structural and phenomenological dimensions of informational worth. We describe the implementation of this model within TIHOMA, a social platform that utilizes recursive evaluation and reputation systems to establish a self-correcting epistemic environment. By situating information evaluation as a collective, community-driven process, CDIEM provides a scalable architecture for knowledge formation that is medium-agnostic and resilient to modern disinformation strategies.
Kenon (Sun,) studied this question.