This study challenges reductionist approaches that view Cultivation Theory merely as a television-centric historical model, arguing instead that the theory retains its structural validity as a "continuous mechanism of symbolic environment production" reorganized within algorithmic media architectures. Drawing upon fundamental premises that conceptualize media effects through cumulative and patterned processes, it is asserted that algorithmic systems do not represent a rupture, but rather a technical phase that automates and renders cultivation processes invisible. Within this scope, the study theoretically analyzes how institutional selectivity gains a technical dimension through digital platform architectures and examines the central role of these structural filtering processes in the construction of social reality.

The core argument of this chapter is that while personalized recommendation systems produce an illusion of individual autonomy, they structurally operate ideological mechanisms such as "mainstreaming" and "resonance" in a much deeper form. Data-driven algorithmic flows reinforce cultural homogenization by classifying users into specific taste clusters and construct "platformed diagnosis" regimes through circular feedback loops. Ultimately, this process reveals that traditional cultivation effects have not ceased; on the contrary, they have evolved into a "heavy cultivation" phase that is more intense, embedded, and inescapable, mediated through mind-mapping practices and algorithmic interventions.