Numbers > Number 22 > Digital Censorship: Truth and Lies in the AI Era
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ISSN: 1885-365X

Digital Censorship: Truth and Lies in the AI Era

This article analyzes digital censorship as an architecture of visibility that reorders the boundary between truth and falsehood in the age of AI, shifting ex‑ante editorial controls toward algorithmic and procedural mechanisms (data selection, ranking, labeling, shadow banning) that affect pluralism and the formation of public judgment, even within rights‑protecting frameworks such as Article 20 of the Spanish Constitution and the DSA. The objectives pursued were: (1) conceptualizing a multilayer model of digital censorship (structural, operational, and forensic); (2) assessing its epistemic effects on public veracity (accessibility, persistence, priority); (3) contrasting the role of fact‑checking agencies in the balance between civic correction and silencing; and (4) proposing an experiential educational response centered on «seeking truth» and communicating with rigor. To achieve these goals, the methodology applied consisted of an interdisciplinary critical review (philosophy, law, communication) and analysis of recent platform cases (policy changes, labeling, deprioritization) triangulated with European regulation; and a design‑based teaching intervention through the NCNM‑BV (2025) project, which implements workshops on communication auditing, evidence traceability, narrative construction, crisis simulations, and performance‑based exercises to evaluate communication competencies and ethical literacy. Among the results, the multilayer map explains how public truth weakens when it ceases to circulate: the structural layer determines what enters the system; the operational layer modulates interaction (filters, blocks, verifications); and the forensic layer rewrites or deprioritizes already‑published content. In the classroom‑laboratory, students increase their ability to detect bias and document processes (logbooks, metadata‑preserved captures, chains of custody), improving argumentative quality and resistance to manipulation. The main conclusions indicate that digital censorship operates less as prohibition and more as visibility management; sustaining a truthful ecosystem requires procedural transparency, clear limits on the intervention of verifying bodies, and an experiential pedagogy that cultivates critical perception, traceability, and professional responsibility to educate in freedom and communicate with evidence.

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