Open Access

Heuristic Potential of Antoni Kępiński’s Information Metabolism Model and Data Smog


In this paper I present the explanatory potential of Antoni Kępiński’s model of information metabolism in the question of data smog (data glut, information overload). Kępiński’s model is not well known and the bibliography concerning the model of information metabolism is still rather poor. In the article I present the model as a good heuristics for explaining information exchange between the system and the environment. The particular aim of my deliberations is to use the model of information metabolism to discuss the pathological, although common phenomenon of data smog. This allows for a holistic view of the problem and allows for new statements on data smog, ethical consequences and counteracting the negative consequences of information overload.

Publication timeframe:
4 times per year
Journal Subjects:
Philosophy, other