用ChatGPT模仿法国总统演讲，发现其风格存在明显差异。
ChatGPT as speechwriter for the French presidents
- 对比总统演讲与ChatGPT生成文本的词汇使用模式。
- ChatGPT过度使用名词、所有格和数字，动词与副词较少。
- 适合关注AI语言风格与真实人类表达差异的研究者。
生成式AI推动大型语言模型（LLMs）自动生成回应用户请求的内容，带来新写作助手的同时也引发担忧。本研究聚焦于分析名为ChatGPT的大型语言模型的写作风格，通过将其生成的年终演讲与希拉克、萨科齐、奥朗德及马克龙的真实演讲进行对比。结果表明，ChatGPT倾向于过度使用名词、所有格限定词和数字，而动词、代词和副词使用较少，且句式过于标准化。在具体词汇层面，其频繁使用“devoir”（必须）、“continuer”（继续）及“nous”（我们），却较少使用“être”（是）、“vouloir”（将要）或“falloir”（必须）。当提供简短样本文本时，ChatGPT可生成风格接近原文的短文本。总体而言，其风格特征与真实总统演讲存在显著差异。
原文摘要 · Abstract (English)
Generative AI 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" (^etre), 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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