Mediatized Sapiens: Communicational knowledge

Lucrécia D´Alessio Ferrara 18 Ciro Marcondes’ scientific production stands out: what kind of man is being designed by this mediatized society? The search for the answer led the researcher to empirical experiments con- ducted with students. The prognosis of investigation based on heuristics is highlighted, which would become considered the matrix of the epistemology of communication. Learning changes its baseline: it transforms questions into inferences tending to solve problems presented to Homo sapiens daily in all its editions. Social processes develop, and the invention is an element that, with technological support, can reinvent itself although, empirically, it continues to use experimentation. In this sense, there is a risk, among all the doubts about what is said and how mediatization is defined, to insinu- ate that it is nothing more than a risky experiment. In this sense, mediatization is a social experiment through which the capacity for invention is experienced. As the master of technical means, man is capable of inventing them, at the same time that he criticizes or adapts to them. In this sense, mediatization is a recent exercise that proposes, for the epistemology of communication, a bias that contemplates the very way in which technology and the means propose the development of knowledge in commu- nication. Mediatization is a learning experience, and as such, it should be studied, but its highest challenge is the ability to invent. Mediatization makes communication stand out as com- municability that establishes, with social production, a double logical implication and manifests itself as supporting its own construction (Ciro Marcondes). 3. Mediatization as a method for inventing The word mediatization contains the word media, which requires considering that the technologies of analogic, electronic, and digital mass media must be considered when we try to understand those media as instruments of a method to invent. As a technology, this method is tautological and does not seem to allow experimentation; on the contrary and increasingly, it assumes certainties that act as automatic practices and produce expected effects: there is talk of reliable codes and net-

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