In 2016, the concept of "post-truth" - indicating any linguistic regime of discourse in which objective facts are less influential in shaping public opinion than appeals to emotions and personal beliefs - gained significant attention in academia, although now its very pervasiveness risks oversimplifications. This research tackles the multifaceted phenomenon of post-truth as a complex network where a whole set of communicative, literary, and technological issues converge and interact with each other. The recent appearance of ChatGPT and other Large Language Model (LLM) AI platforms generating "post-truth" narratives in competition with other discourses raises a number of philosophical, linguistic, and literary questions.Our research group intends to investigate the impact and effects of post-truth on literature, linguistics, and audiovisual studies across different geographical areas, to understand if and how these textuality-related disciplines can devise epistemic tools 1 / 16 and hermeneutic categories allowing for the creation/negotiation of strategies to understand and resist post-truth divisive tendencies.