Research · Strategic Framework
The ACA Framework
A strategic model for managing reputation and risk in algorithm-governed environments.
DOI: 10.5281/zenodo.20430991 · Sonia Yánez Blum · ORCID 0000-0002-6695-8129
Definition
What is the ACA Framework?
ACA Framework (Framework for Algorithmic Authority and Credibility)
The ACA Framework is a strategic model that integrates principles of reputation, communication, and AI governance to evaluate, design, and manage how algorithms affect the visibility, trust, and influence of people, brands, and organizations in digital environments.
Developed to address a concrete need: organisations lacked proprietary methodologies for understanding and acting on algorithmic reputation — the set of signals that AI systems use to construct and distribute an entity's image.
Structure
The four pillars
01
Traceability
Verifiable digital identity across multiple sources.
02
Narrative Coherence
Consistent messaging across all channels.
03
Content Depth
Substantive, citable, original content.
04
Relevance & Currency
Up-to-date presence aligned with current developments.
ACA-Score™ v2
Indicative evaluation instrument for algorithmic reputation, under active development.
DOI: 10.5281/zenodo.19035939 · Licence CC BY-NC-SA 4.0
Also by Sonia Yánez Blum
- TAA — Algorithmic Authority Theory. DOI: 10.5281/zenodo.18802347
- Algorithmic Reputation (EN). DOI: 10.5281/zenodo.20410739
- RICFE™ — Manual of AI & Prompts for PR. DOI: 10.5281/zenodo.19388591
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