从"负能"到"赋能":AIGC"污染"的作用机理及干预策略OACHSSCD

The rapid advancement of generative artificial intelligence(GenAI)has led to a massive influx of AI-generated content(AIGC)into the content economy.The widespread diffusion of low-quality AIGC has given rise to a"pollution"issue,posing new challenges for ecosystem governance.Centered on the psychological processes underlying human-GenAI interaction and grounded in a nested Stimulus-Organism-Response(SOR)framework,this study conceptualizes the phenomenon along a"cause-effect-intervention"logic.First,it identifies the psychological mechanisms behind GenAI's"empowerment paradox"whereby the technological advantages inadvertently promote the production of low-quality content.Second,it analyzes the impact of AIGC"pollution"on the content economy ecosystem and the distinct psychological pathways involved.Finally,it evaluates the effectiveness of current governance strategies employed by content platforms and,drawing on nudge theory,proposes optimized interventions to facilitate a shift from degradation to empowerment in the AI-driven content ecosystem.This study aims to provide theoretical insights to support the healthy integration of GenAI into the content economy.