人工智能生成虛假健康信息的用戶認(rèn)知機(jī)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

伴隨人工智能算法、算力和數(shù)據(jù)資源的飛速發(fā)展，生成式人工智能（GenerativeArtificialIntelligence，簡(jiǎn)稱GAI）應(yīng)運(yùn)而生，并超越了傳統(tǒng)應(yīng)用軟件與互聯(lián)網(wǎng)平臺(tái)的范疇，逐漸形成了覆蓋多領(lǐng)域、橫跨各行業(yè)的全鏈?zhǔn)疆a(chǎn)業(yè)規(guī)模。（剩余13420字）