The rapid expansion of digital media has transformed the relation between information environments and human cognition from a predominantly linear communication problem into a dynamic, non-linear, and reflexive problem of knowledge formation. This article examines the proportionality between media space and virtual cognition through a synergetic and epistemological framework. Drawing on the concepts of self-organization, order parameters, fluctuations, bifurcation, and nonequilibrium dynamics, it conceptualizes the human cognitive system as an open system coupled to an algorithmically structured media environment. The central argument is that cognitive difficulty in hyper-digital environments should not be reduced to information overload alone: it also concerns the transformation of the conditions under which relevance, attention, interpretation, and epistemic agency are constituted. The article develops the concepts of cognitive entropy and algorithmic attraction and proposes a Three-Stage Cognitive Synergy Model consisting of epistemological pause, systemic filtering and synergetic literacy, and human-in-the-loop algorithmic co-existence. The model is complemented by a Media-Ecological Meta-Cognition framework intended to preserve reflective autonomy while allowing computational systems to assist with information aggregation and pattern recognition. The proposed approach does not reject digital mediation; rather, it seeks a dynamic proportionality between the intensity of media inputs and the human capacity for interpretation, evaluation, and self-organization.
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Kabilovna et al. (2026) studied this question.
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