Evolution of Knowledge Production and Reconstruction of Communicator Roles in the AlGC Era

Siyang Xu; Shixue Xiong

doi:10.71204/f3epq065

Authors

Siyang Xu Guangzhou Vocational University of Science and Technology Author
Shixue Xiong Guangzhou Vocational University of Science and Technology Author

DOI:

https://doi.org/10.71204/f3epq065

Keywords:

AIGC, Knowledge Production Models, Roles of Communicators, Human–Machine Collaboration, Knowledge Ecosystem

Abstract

The iterative development of AI-generated content (AIGC) technologies has given rise to a new paradigm of knowledge production and dissemination. Drawing on a systematic literature analysis, this study reviews the evolutionary trajectory of traditional knowledge production models. The study focuses on the transformative changes driven by the AIGC-powered "human–machine collaboration" paradigm—particularly in terms of dynamic mechanisms, organizational methods, quality control, and value orientation. On this basis, the paper examines the challenges faced by traditional communicators, including the erosion of authority and the weakening of gatekeeping functions. It argues that communicators need to transition into multiple new roles: strategist in human–machine collaboration, facilitators of higher-order thinking, critics of algorithmic ethics, and emotional liaison. Finally, a dialectical examination is conducted on potential issues arising from the new paradigm. The paper aims to provide a theoretical reference for building a sound knowledge ecosystem, where a dynamic network of actors, technologies, and institutions can work cohesively in the production, dissemination, and use of knowledge.

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