Post-truth and Artificial Intelligence: from Emotional Narratives to Synthetic Authenticity
Post-truth and Artificial Intelligence: from Emotional Narratives to Synthetic Authenticity

Summary/Abstract: This article examines post-truth as a cultural regime of public sphere emerging at the intersection between the attention economy and platform logic. In this environment, emotionally charged narratives and social indicators of trust often replace expert verification. The argument is that artificial intelligence (AI) acts not simply as an accelerator of disinformation, but as a cultural technique that reorganizes the criteria for truth. On this basis, the concepts of “algorithmic public sphere” (fragmented, affectively structured publics), “synthetic authenticity” (the aesthetics of verisimilitude in deepfakes and generative models), and the transformation of “regimes of truth” (Foucault) into model-predictive standards. The conclusion emphasizes the need for media and algorithmic literacy, as well as research tools for the ethical and epistemic management of synthetic realities.

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