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Machine text attribution: visualization of results
R. A. Svetlov, Alexander N. Kabanov
Source record
Source: Crossref
Published: Aug 31, 2026
DOI: 10.24147/2222-8772.2026.2.95-99
Open original source ↗Source abstract
The article considers methods for visualizing the results of machine text attribution: dendrograms, consensus networks, PCA projections, and the rolling window method. Their advantages and disadvantages are analyzed, as well as development prospects in the context of the widespread use of LLMs and the need for interpretability for non-specialists.
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