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This document defines meaning debt as a property of AI-mediated content, suggesting new interpretations of information.
A formal definition of meaning debt as a latent property of content that manifests as interpretive variance when mediated by AI systems. Meaning debt is determined by how claims are structured on the page — their scope, attribution, atomicity, and positioning — and is not reducible to factual correctness or editorial quality. The term names a medium-relative property that activates specifically under conditions of AI-mediated transformation. This document establishes the term and distinguishes it from adjacent concepts (content quality, human interpretive difficulty, hallucination). Empirical characterization and measurement methodology are reserved for subsequent work. Meaning debt is the diagnostic counterpart to invariant design (Philipp, 2026).
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Thomas Philipp (2026) studied this question.
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