ChatGPT as speechwriter for the French presidents

Abstract Generative artificial intelligence proposes several large language models (LLMs) to automatically generate a message in response to users’ requests. Such scientific breakthroughs promote new writing assistants but with some fears. The main focus of this study is to analyze the written style of one LLM called ChatGPT by comparing its generated messages with those of the recent French presidents. To achieve this we compare end-of-the-year addresses written by Chirac, Sarkozy, Hollande, and Macron with those automatically produced by ChatGPT. We found that ChatGPT tends to overuse nouns, possessive determiners, and numbers. On the other hand, the generated speeches employ less verbs, pronouns, and adverbs and include, in mean, too standardized sentences. Considering some words, one can observe that ChatGPT tends to overuse “to must” (devoir), ‘to continue’ or the lemma ‘we’ (nous). Moreover, GPT underuses the auxiliary verb ‘to be’ (être), or the modal verbs ‘to will’ (vouloir) or ‘to have to’ (falloir). In addition, when a short text is provided as example to ChatGPT, the machine can generate a short message with a style closed to the original wording. Finally, we reveal that ChatGPT style exposes distinct features compared to real presidential speeches.

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Publication Details

Journal
Digital Scholarship in the Humanities
Published
2025-04-25
DOI
https://doi.org/10.1093/llc/fqaf032
Citations
3
Primary Topic
Text Readability and Simplification
Type
article
Field-Weighted Citation Impact
7.44
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article

ChatGPT as speechwriter for the French presidents

Jacques Savoy, Cyril Labbé, Dominique Labbé
3 citations
Digital Scholarship in the Humanities
Text Readability and Simplification
7.44
article

ChatGPT as speechwriter for the French presidents

Jacques Savoy, Cyril Labbé, Dominique Labbé
article en
3 citations

Abstract

Abstract Generative artificial intelligence proposes several large language models (LLMs) to automatically generate a message in response to users’ requests. Such scientific breakthroughs promote new writing assistants but with some fears. The main focus of this study is to analyze the written style of one LLM called ChatGPT by comparing its generated messages with those of the recent French presidents. To achieve this we compare end-of-the-year addresses written by Chirac, Sarkozy, Hollande, and Macron with those automatically produced by ChatGPT. We found that ChatGPT tends to overuse nouns, possessive determiners, and numbers. On the other hand, the generated speeches employ less verbs, pronouns, and adverbs and include, in mean, too standardized sentences. Considering some words, one can observe that ChatGPT tends to overuse “to must” (devoir), ‘to continue’ or the lemma ‘we’ (nous). Moreover, GPT underuses the auxiliary verb ‘to be’ (être), or the modal verbs ‘to will’ (vouloir) or ‘to have to’ (falloir). In addition, when a short text is provided as example to ChatGPT, the machine can generate a short message with a style closed to the original wording. Finally, we reveal that ChatGPT style exposes distinct features compared to real presidential speeches.

Digital Scholarship in the HumanitiesVol. 40(2)
Laboratoire d'Informatique de Grenoble (FR), Laboratoire d'Informatique de Paris-Nord (FR), University of Neuchâtel (CH), Université Grenoble Alpes (FR)
Quality Education
Openalex Percentile: Top 3%
Text Readability and Simplification
7.44
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