This paper explores the impact of technology intervention on public opinion mechanism by examining the relationship between technology,media environments,and public opinion communication mechanism.It focuses on the changes in public opinion communication mechanism amidst technological ad-vancements and unveils the unique ways in which generative artificial intelligence(GAI)reshapes the mech-anism:the change of public opinion scenarios in which human-objects are put on the same stage;the emer-gence of rational intelligent complexes,and the effectiveness of intermediary-intervened discourse mecha-nisms.From the perspectives of efficiency,experience,human-information relationship,cross-domain in-teractions,and psychological proximity,the paper innovatively explores the stage-by-stage characteristics of public opinion formation within GAI-based media environments.The paper argues that the issues of fake news and information uncertainty pose risks to trust and cooper-ation relationship between people and between human-machine.In the intelligent communication environ-ment,once the generative artificial intelligence is controlled by certain kinds of group,it probably has even more binding effects than the information cocoon.The paper proposes the"cage effect"to scrutinize the tech-nological dilemma confronted by communicators,aiming to foster a deeper understanding of the root cause of risks stemming from GAI hidden within public opinion mechanism.Realistic approaches to optimizing public opinion communication mechanism in the intelligent communication environment is further proposed in this pa-per,encompassing aspects of law,policy,technology,ecological resource,media,and algorithmic literacy.
Generative Artificial Intelligence(GAI)Public Opinion Communication MechanismRiskRegulation
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NSTL
万方数据
