Networked content: reality and simulation

This article analyzes the internal logic of the production and consumption of networked content. In the contemporary digital environment, technical agents (algorithms, bots, neural networks) are not neutral intermediaries between humans and information; rather, they function as instruments of control, almost entirely determining the content of the online space. The study explores how the automation of content production and the imitation of network activity lead to the substitution of genuine participation with statistical semblance. Special attention is given to the processes of falsified engagement, wherein technical agents not only generate content but also maintain it autonomously, forming a self-contained system of production and self-reproduction. The analysis draws on the concepts developed by S. Zuboff, E. Finn, S. Woolley, and P. Pomerantsev, who have examined various aspects of simulation within networked environments, as well as on the ideas of H. Rosa and E. Zolotukhina-Abolina, who propose an alternative view of subjectivity as a space of resistance to algorithmic normalization. The article concludes by affirming the unreality of networked content and considering the potential for a revival of human participation in zones beyond the reach of digital control.