Language-Mediated Frenchness: Cultural Representation and Distributed Authorship in Multilingual Generative AI Narratives

Generative artificial intelligence is gradually expanding beyond information retrieval and text-assistance tools into storytelling, literary production, and cultural expression. For multilingual AI, language not only serves an informational function but may also be associated with different training data, forms of cultural knowledge, and narrative conventions. Consequently, the same narrative task may yield cultural expressions that are not entirely identical when generated in different linguistic contexts. Taking "a French child leaving home for the first time" as a common narrative theme, this study compares three stories generated by ChatGPT from equivalent prompts in French, English, and Chinese. Using comparative textual analysis, the three texts are coded across multiple dimensions. The findings show that although the texts share a common narrative structure, they differ markedly in their cultural expressions and representational choices. These linguistic differences should not be interpreted as evidence that language directly determines culture. Rather, language can be understood as a cultural interface and cue that prompts the model to activate different language–culture associations, which in turn shape the characters, spaces, values, and narrative forms of the stories.