Abstract
This study investigates how a Weibo-embedded artificial intelligence (AI) chatbot, CommentR, functions within a gendered communicative environment by systematically mapping the conversational contexts and linguistic patterns through which gendered dynamics manifest in human-AI interaction. Drawing on a large-scale dataset of interactions between Weibo users and CommentR, the study identifies the dominant thematic structures and user intentions that characterize engagement with the chatbot, while quantifying stylistic variations in its replies across user genders. Through the integration of computational methods and large language model (LLM)-based annotation, the analysis reveals how subtle linguistic features vary across user gender and interactional context. Ultimately, the findings provide an empirical basis for understanding how everyday exchanges with AI systems both reproduce and reshape gendered communication norms within China's digital public sphere.