Generative Artificial Intelligence in the misinformation era

Abstract

Objective: To analyze the impact of Generative Artificial Intelligence on the intensification of disinformation, discussing ethical risks and the imperative need to develop critical information competencies to mitigate the effects of information disorder in the public sphere.
Methodology: This study employed a qualitative approach based on a bibliographic review within the field of Information Science. The analysis focused on conceptualizing disinformation, its circulation dynamics in digital social networks, and the technical mechanisms of GAI that potentiate information disorder.
Results: The findings indicate that GAI accelerates the production of deceptive narratives at reduced costs, facilitating large-scale deception operations. Furthermore, the capacity for personalizing disinformation based on individual cognitive biases makes validation difficult. The study highlighted the importance of distinguishing disinformation from mere misinformation to understand its structural mechanisms.
Conclusions: Disinformation, intensified by digital social networks and GAI, represents a central challenge for contemporary society. Combating this phenomenon requires integrated approaches that articulate technological regulation policies, the strengthening of information competence, and the development of ethical strategies for using artificial intelligence. Critical understanding of these processes is indispensable for building more transparent and responsible information environments