Representation shapes public attitudes and behaviors. With the recent advances and rapid adoption of LLMs, the way these systems are introduced will negotiate societal expectations for their role in high-stakes domains like health. Yet it remains unclear whether current narratives present a balanced view. We analyzed five prominent discourse channels (news, research press, YouTube, TikTok, and Reddit) over a two-year period on lexical style, informational content, and symbolic representation. Discussions were generally positive and episodic, with positivity increasing over time. Risk communication was unthorough and often reduced to information quality incidents, while explanations of LLMs' generative nature were rare. Compared with professional outlets, TikTok and Reddit highlighted wellbeing applications and showed greater variations in tone and anthropomorphism but little attention to risks. We discuss implications for public discourse as a diagnostic tool in identifying literacy and governance gaps, and for communication and design strategies to support more informed LLM engagement.

翻译：表征塑造公众态度与行为。随着大型语言模型（LLMs）的最新进展和快速普及，这些系统的引入方式将影响社会对其在健康等高风险领域作用的预期。然而，当前叙事是否呈现平衡观点仍不明确。我们历时两年分析了五个重要话语渠道（新闻、研究媒体、YouTube、TikTok和Reddit）在词汇风格、信息内容和符号表征方面的特征。讨论整体呈积极态势且具有片段化特征，积极性随时间推移不断增强。风险沟通不够全面，常被简化为信息质量事件，而对LLMs生成性质的解释则较为罕见。与专业媒体相比，TikTok和Reddit更侧重健康应用，在语气和拟人化方面表现出更大差异，但对风险的关注甚少。我们探讨了公共话语作为诊断工具在识别素养与治理缺口方面的意义，以及支持更理性LLM参与的传播与设计策略。