人工智能生成虚假健康信息的用户认知机制探索

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Abstract：Withthe widespread applicationofAI-generated content，the isueoffalse information in the healthcare domain has become increasingly severe， affcting public health decisions and social trust.To explore its influencing factors，this study conducted semi-structured interviews with users from diferent age groups and applied grounded theory forcoding analysis，developingan influence factor model.The model encompasses fivecore factors： information evaluation，platform environment，content characteristics，personal traits，and social environment. Through an indepth analysisofthe impact mechanismof AI-generated false health informationonuser cognition，this study notonly expandsthe theoreticalunderstandingoffalse health informationgovernance in thecontextofartificial intellgence but also provides valuable references for policy-making and technological development in health information governance. It contributes to enhancing platformregulatorycapabilities，optimizing users'information literacy，and promoting the healthydevelopmentof the health information ecosystem.

Keywords： Artificial Intelligence; False Health Information; User Cognition; Grounded Theory

伴随人工智能算法、算力和数据资源的飞速发展，生成式人工智能（GenerativeArtificialIntelligence，简称GAI）应运而生，并超越了传统应用软件与互联网平台的范畴，逐渐形成了覆盖多领域、横跨各行业的全链式产业规模。（剩余13420字）