SOQ: theoretical foundations for mapping multimodal meaning in new creative works
Keywords:
multimodal meaning, semantic density, meaning mapping, quantitative methods in art history, AI art, evaluation methodologyAbstract
This article presents the SOQ (Sense, Originality, Quality) methodology for mapping and quantifying multimodal meaning in contemporary art, including works using artificial intelligence technologies. SOQ is positioned not as a ready-made measurement system, but as a proof-of-concept: a conceptual framework and a set of operational components requiring empirical validation. The methodology is built around the concept of a dynamic macronetwork of semantic nodes, each with defined parameters of scale, vitality, source type, novelty, and visibility. The article's main contributions include: an operational definition of a semantic node, the SOQ_total formula with explicitly defined scales and dimensions for all components, a minimal working example of applying the methodology to a specific work, and a validation protocol specifying baselines of comparison. This article is intended for researchers working at the intersection of digital humanities, multimodal semiotics, and the analysis of AI-generated content.
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