Keywords
Cultural Memory
deliberative democracy
Greimas actant model
large language models (LLMs)
prompt engineering
statistical analysis
Political discourse
How to Cite
Abstract
This article develops and evaluates an exploratory LLM-supported methodology for analysing contested cultural memory in hybrid public spheres. The methodology combines three analytical dimensions: Greimasian actantial extraction for identifying narrative structures, antagonism–agonism–deliberation classification for assessing discursive modes, and epistemic, ethical, democratic, and ideological scoring for analysing discourse functions. These outputs are examined through semantic clustering, statistical analysis, and expertbased validation. The pipeline is demonstrated through Slovenia’s Day of Resistance Against the Occupier, comparing newspaper articles and publicly visible X posts. The findings show that the approach can identify meaningful relations between narrative configurations, discursive modes, and discourse functions, especially in longer texts, while X posts remain exploratory due to reliability limits.
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