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The Evolving Credibility of Stories
In this (very preliminary) project, I aim to develop a framework for studying narratives. I propose a novel methodology which leverages LLM capabilities to extract individual stories from a corpus of texts, creating a database of stories. Stories are then compared, via a notion of semantic similarity which respects story-structure, and agglomerated into narratives. Preliminary results attesting to the capabilities of the methodology in the context of inflation-related narratives will be furnished, along with proposed directions for future research. Accompanying preliminary theoretical conjectures, and the empirical hypotheses they generate, will also be discussed.
Date:
2 May 2025, 12:45
Venue:
Manor Road Building, Manor Road OX1 3UQ
Venue Details:
Seminar Room G
Speaker:
Alyssa Rusonik (HEC Paris)
Organising department:
Department of Economics
Part of:
Student Research Workshop in Micro Theory
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Edward Valenzano
