dotyczc

Dotyczc is a term used in theoretical discussions of information processing and discourse analysis to describe a mechanism by which a focal element within a text draws related content into focus and thereby shapes the surrounding narrative. The word is a coined neologism, loosely inspired by Slavic roots meaning to concern or pertain, chosen to signal its relation to central topics rather than to physical objects.

In formal terms, dotyczc defines a locality-preserving diffusion process on a discourse graph. A central term or theme acts as the source node, and related terms form progressively weaker connections as they diverge from the origin. The resulting network highlights how attention to a core idea propagates through adjacent topics.

Origin and usage: The concept was introduced in a 2023 article by researchers at the Institute for Theoretical Semantics. Since then, it has been cited in discussions of discourse analysis, information retrieval, and interpretable natural language processing as a descriptive tool for topic propagation.

Applications: Dotyczc is used to analyze long-form writing, assess topic diffusion in social media, and aid in indexing and summarization by identifying clusters of content aligned with a central theme. In language modeling, it provides a framework for understanding how prompt choices influence downstream content.

Criticism: As a largely theoretical construct, dotyczc faces challenges relating to operationalization, measurement, and reproducibility. Critics note that results can be sensitive to text pre-processing, graph construction, and the choice of diffusion parameters.

See also: semantic diffusion, discourse analysis, topic modeling, information diffusion, interpretable AI.