Published May 28, 2026 | Version v1
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Del poder algorítmico a la legitimidad digital: El Marco de Autoridad y Credibilidad Algorítmica (ACA)

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 Objetivo: Desarrollar los fundamentos teóricos del Marco de Autoridad y Credibilidad Algorítmica (Marco ACA) y posicionarlo en la literatura de Relaciones Públicas, identificando la brecha entre la práctica profesional contemporánea y los marcos conceptuales disponibles para gestionar la presencia de organizaciones ante sistemas de IA generativa. Metodología: Investigación conceptual-teórica en cuatro fases: revisión narrativa de literatura (Scopus, Web of Science, Google Scholar) sobre reputación corporativa, autoridad algorítmica y medición en RRPP; síntesis inductivo-deductiva de dimensiones de legitimidad algorítmica; presentación inaugural en CINCOMA 2025 (Valencia) como primer proceso de validación profesional; y consolidación teórica en este artículo. Resultados: Se propone el Marco ACA articulado en cuatro pilares —Trazabilidad Digital Verificable, Coherencia Narrativa Multicanal, Profundidad de Contenido Sustancial y Actualización y Relevancia Constante—. Se sistematiza la evolución histórica de la disciplina en una periodización RRPP 1.0–6.0 que sitúa la gestión algorítmica como estadio emergente. Conclusiones: El Marco ACA extiende la Excellence Theory al dominio algorítmico, se alinea con los Barcelona Principles 3.0 y establece las bases conceptuales para instrumentos de medición de la presencia algorítmica corporativa. Su complemento técnico, el ACA-Score™ v2 (Yánez Blum, 2026b), operacionaliza estos fundamentos en 12 KPIs.

 

 

Abstract (English)

Abstract (EN)

Purpose: To develop the theoretical foundations of the Authority and Algorithmic Credibility Framework (ACA Framework) and position it within Public Relations literature, identifying the gap between contemporary professional practice and available conceptual frameworks for managing organizational presence before generative AI systems. Design/methodology/approach: Conceptual-theoretical research in four phases: narrative literature review (Scopus, Web of Science, Google Scholar) on corporate reputation, algorithmic authority and PR measurement; inductive-deductive synthesis of algorithmic legitimacy dimensions; inaugural presentation at CINCOMA 2025 (Valencia) as first academic peer review; and theoretical consolidation in this article. Findings: The ACA Framework is proposed, articulated around four pillars —Verifiable Digital Traceability, Multi-Channel Narrative Coherence, Substantial Content Depth, and Constant Updating and Relevance— grounded in the Excellence Theory tradition extended to algorithmically mediated contexts. Originality/value: The ACA Framework is a normative PR framework specifically designed to manage organizational legitimacy in algorithmically mediated information environments. It bridges Excellence Theory, Barcelona Principles 3.0 and the emergent literature on algorithmic authority into a single integrative framework for the PR profession.

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Preprint: 10.5281/zenodo.18802347 (DOI)
Is supplemented by
Preprint: 10.5281/zenodo.19035939 (DOI)

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