Journalism in a new informative environment structured by Artificial Cognitive Systems

Authors

DOI:

https://doi.org/10.5007/1984-6924.2023.95083

Keywords:

Journalism, Artificial Cognitive Systems, Social relevance

Abstract

Journalism has evolved over the centuries, adapting to capture the audience's attention. With the emergence of intelligent systems such as chatbots and software that transform data into news narratives, giving rise to Artificial Media, computational systems with cognitive bias create content in real-time through interactive engagement with the audience. This new information ecosystem blurs the boundaries between human-generated content and that produced by machines. The introduction of Artificial Cognitive Systems establishes a symbiotic partnership between biological and artificial agents, transforming the way information is consumed. This Human Information Interaction replaces the previous master-slave relationship from the Industrial Revolution. The article suggests the hypothesis of the consolidation of Artificial Media, in which the machine can process events, contexts, and actions, initially dealing with immediate situations and increasingly acquiring predictive or prospective capabilities, thus reshaping the production, distribution, and consumption of news.

Author Biography

Walter Lima Junior, Federal University of São Paulo

Professor of Artificial Cognitive Systems in the Institute of Science and Technology at the Federal University of Sao Paulo/Unifesp. Post-doctorate Man-computer symbiosis in the Mechatronics Engineering Department at the University of Sao Paulo/USP.

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Published

2024-08-08

Issue

Section

Núcleo Temático