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arXiv · 2506.18621

The Anatomy of Speech Persuasion: Linguistic Shifts in LLM-Modified Speeches

Alisa Barkar·Mathieu Chollet·Matthieu Labeau·Beatrice Biancardi·Chloe Clavel
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Abstract

This study examines how large language models understand the concept of persuasiveness in public speaking by modifying speech transcripts from PhD candidates in the "Ma These en 180 Secondes" competition, using the 3MT French dataset. Our contributions include a novel methodology and an interpretable textual feature set integrating rhetorical devices and discourse markers. We prompt GPT-4o to enhance or diminish persuasiveness and analyze linguistic shifts between original and generated speech in terms of the new features. Results indicate that GPT-4o applies systematic stylistic modifications rather than optimizing persuasiveness in a human-like manner. Notably, it manipulates emotional lexicon and syntactic structures (such as interrogative and exclamatory clauses) to amplify rhetorical impact.

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Alisa Barkar, Mathieu Chollet, Matthieu Labeau, Beatrice Biancardi, Chloe Clavel. 2025-06-23. The Anatomy of Speech Persuasion: Linguistic Shifts in LLM-Modified Speeches. https://arxiv.org/abs/2506.18621

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