框架理論視角下人工智能風險的社會建構：基于事件新聞文本挖掘的分析

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The Social Construction of Al Risks from the Perspective of Framing Theory： An Analysis Based on Event News Text Mining

AbstractThroughtheframing strategies，the mediaconstructesocialmeaningofartificial intelligence （AI）risks，shaping public perceptionand influencing policyresponses.Clarifying the theme characteristics and emotional expressions in AIriskreportingcan provide theoretical supportand empirical evidence for improvingAIrisk governance.This paper， groundedinframing theory，proposesathree-dimensionalanalyticalmodelof“Scope-Perspective-Tone”andemploys naturallanguageprocessing techniquesincludingLDAtopicmodeling，sentimentanalysis，andlinguisticambiguitydetectionto systematicallexamineAIrisk news texts，uncovering themechanismsandevolutionof mediaframing inthis context.Itturnsout theframingofAIriskinthenews hasshiftedfromafocusontechnicalissues—suchasdata privacyand algorithmicbiasinearlieryears—tobroadersociopoliticalconcerns inrecentyears，includingalgorithmicdiscrimination， election interference，andpsychologicalmanipulation.Distincttypesofmediaoutletsdemonstratesignificantdierences inreporting stanceand focal points，reflecting theconstructionof diverse perspectives inriskcommunication.Moreover， the media generalltends toadoptnegative emotional tonesandemploy vague orhedging language，whichamplifies publicanxietyandalertnessregardingAIrisks.Researchshows thatmediaarenotmerelyconduitsofinformationbutactive agents in shaping the social meaning of AI-related risks.

KeywordsAI risk; framing theory;LDA;sentiment analysis;risk evolution

人工智能（ArtificialIntelligence，AI）技術在醫(yī)療、教育、金融、交通和司法等領域的廣泛應用，不僅顯著提升了工作效率，還推動了技術創(chuàng)新[。（剩余18051字）