{"id":1634,"date":"2025-06-06T13:10:03","date_gmt":"2025-06-06T11:10:03","guid":{"rendered":"https:\/\/www.cjvt.si\/llm4dh\/?p=1634"},"modified":"2025-06-06T13:16:02","modified_gmt":"2025-06-06T11:16:02","slug":"workshop-ai-methods-for-research-of-folkloristic-narratives","status":"publish","type":"post","link":"https:\/\/www.cjvt.si\/llm4dh\/en\/blog\/workshop-ai-methods-for-research-of-folkloristic-narratives\/","title":{"rendered":"Workshop: AI Methods for Research of Folkloristic Narratives"},"content":{"rendered":"

Workshop: AI Methods for Research of Folkloristic Narratives<\/span><\/h1>\n<\/div><\/section><\/div>\n

We are organising a workshop focused on developing AI methods for researching folkloristic narratives. The event is open to the public, and you are warmly invited to attend.<\/span><\/p>\n<\/div><\/section><\/div>\n

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Date and time:<\/b> June 13, 2025, from 8:45 to 18:15<\/span><\/p>\n

Location:<\/b> UL FRI, Lecture Hall P02<\/span><\/p>\n

Zoom:<\/b> https:\/\/uni-lj-si.zoom.us\/j\/92230149490?pwd=gFEtauF3snPg9QeqgpxXiuPgywb5LF.1<\/span><\/p>\n

The workshop will be conducted in English.<\/span><\/p>\n<\/div><\/section><\/div>\n

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Concept<\/span><\/h2>\n<\/div><\/section><\/div>\n

In recent years, artificial intelligence has opened new pathways for interpreting large-scale cultural and historical d<\/span>ata, enabling researchers to identify latent patterns, structures, and discursive shifts that would remain hidden <\/span>through traditional methods. Folkloristic narratives\u2014fairy tales, myths, legends, and oral stories\u2014form one of <\/span>the richest and most culturally embedded forms of human expression. Yet, despite their complexity and <\/span>abundance, they have rarely been subjected to computational methods on a meaningful scale.\u00a0<\/span><\/p>\n

Why should we analyse folktales with AI? Because these narratives carry encoded models of social behavior, political <\/span>imagination, moral reasoning, and cultural identity\u2014models that evolve over time and differ across societies. <\/span>AI, particularly large language models (LLMs), now offers tools powerful enough to detect recurring motifs, <\/span>classify tale types, and even extract embedded values from a diachronic and intercultural perspective.<\/span><\/p>\n

The central aim of this workshop is to develop interdisciplinary methodologies for analyzing folkloristic corpora using AI-based tools, combining both qualitative insight and quantitative rigor. The bilateral project specifically addresses the <\/span>sociocultural dynamics behind the popularity and adaptation of specific folktales in different societies, including <\/span>Slovenian narratives and their intercultural ties. It builds on the idea that tale structures, motifs, and character<\/span>functions are not universal givens, but are culturally shaped\u00a0 responses to social, political, and historical <\/span>conditions. Computational approaches\u2014especially those using LLMs\u2014enable large-scale diachronic and <\/span>synchronic analysis of these narratives, helping us understand their transformations over time and across <\/span>Regions.<\/span><\/p>\n<\/div><\/section><\/div>\n

The workshop programme includes three thematic panels:<\/strong><\/p>\n<\/div><\/section>
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