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With the rapid development of generative artificial intelligence(AI) technology, concerns have been raised that it can be used to produce and disseminate fake news. Fake news is viewed as a digital organism that feeds on human interest and emotions, and how the Generative AI can increase the production and propagation power of fake news is considered. Through literature review and case analysis, the main characteristics of the Generative AI that can be abused in the production of fake news were derived. Deep learning, natural language processing, and multi-modal content synthesis are representative. Based on this, a conceptual model was proposed to explain the life cycle of AI-generated fake news and the factors of propagation within the digital platform. The research results suggest that the Generative AI can greatly amplify the scale and persuasiveness of fake news by automatically producing realistic and emotionally stimulating content. It also highlights the importance of digital platforms and user actions in the spread of AI-generated fake news. In order to cope with these threats, a multidimensional approach such as technical solutions, media literacy education, and regulation is required. An in-depth understanding of the co-evolution dynamics of AI technology and human society in the digital ecosystem is required. This study provides exploratory insights, but follow-up studies are needed for empirical verification and elaboration of the proposed model.
H. Kim (Sun,) studied this question.
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