POST-DIGITAL EPISTEMOLOGIES: RECONFIGURING KNOWLEDGE, VALIDATION, AND AUTHORITY IN THE AGE OF ARTIFICIAL INTELLIGENCE
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Abstract
This study examines the profound epistemological transformations induced by the World Wide Web and digital technologies in the post-digital era, analyzing how they reconfigure the construction, validation, and distribution of knowledge, especially considering the challenges posed by Generative Artificial Intelligence (GAI). Employing a theoretical-analytical approach, which includes an exhaustive literature review and the synthesis of perspectives from media ecology, digital sociology, the political economy of communication, and epistemological studies, the research identifies three fundamental transformations: the hypertextual organization of knowledge that subverts linear structures; the emergence of distributed validation systems which, by displacing institutional authority, introduce complex dynamics of power, epistemic justice, and affective influence; and the consolidation of knowledge mutability as an inherent epistemic condition. It is found that GAI intensifies these changes and poses dilemmas regarding authorship, veracity, and agency. It is concluded that these are not mere technological updates but a fundamental socio-technical reconfiguration of legitimate knowledge production, requiring the urgent development of critical digital literacies and robust institutional and political frameworks to address algorithmic biases, platform governance, the affective dimension, and the impact of GAI, thereby fostering more democratic, diverse, and just knowledge ecologies.
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