Empowering the Integration of Scientific Journals and New Media through AIGC: Model Innovation and Practical Pathways

Abstract

The rapid development of Artificial Intelligence-Generated Content (AIGC) technology is profoundly transforming the publishing ecosystem of scientific journals. Based on the Diffusion of Innovations theory, this paper systematically explores the application models and innovative pathways of AIGC technology in the integration process of scientific journals and new media. The study finds that AIGC not only reconstructs the content production workflow of scientific journals but also drives fundamental changes in communication models. By analyzing typical domestic and international cases, this paper proposes a three-stage practical framework of "technology adaptation–process reengineering–ecosystem reconstruction," providing actionable implementation plans for the digital transformation of scientific journals. The research also highlights that in advancing AIGC applications, special attention must be paid to ethical norms, quality control, and talent development as critical issues.

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