Research on the Ecological Mechanism of Online Information Content in the Context of Generative Artificial Intelligence

Liu Ting, Zhou Jia, Xu Xiaofang, Hu Yuan

Knowledge Management Forum ›› 2026, Vol. 11 ›› Issue (4) : 0.

Knowledge Management Forum ›› 2026, Vol. 11 ›› Issue (4) : 0. DOI: 10.13266/j.issn.2095-5472.2026.027  CSTR: 32306.14.j.issn.2095-5472.2026.027

Research on the Ecological Mechanism of Online Information Content in the Context of Generative Artificial Intelligence

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Abstract

[Purpose/Significance] This paper explores the impact of the development of generative artificial intelligence on the ecological mechanism of network information content, and provides a role in optimizing the ecological mechanism of network information content and improving the efficiency of information utilization. [Method/Process] This paper adopted the grounded theory research method to carry out open coding, axial coding and selective coding on the literature and policy documents related to the ecological mechanism of generative artificial intelligence and network information content, and construct the ecological mechanism of network information content under the background of generative artificial intelligence including subject mechanism, participation mechanism, realization mechanism and guarantee mechanism. Then, the mutual influence relationship within the ecological mechanism of network information content was analyzed, and the influence path of generative artificial intelligence on the mechanism of network information content was analyzed. On this basis, the application of self-media platform AI was selected as a case to verify the rationality of the four influence paths. [Result/Conclusion] The study finds that the overall analytical logic of generative artificial intelligence with respect to the subject mechanism, participation mechanism, realization mechanism, and guarantee mechanism follows the chain: generative artificial intelligence-information content-information subjects-information services-information environment. Moreover, all four influence pathways have been effectively validated through case studies on self-media platforms. This not only confirms the rationality and feasibility of each pathway, but also fully demonstrates the systematic and dynamic nature of generative artificial intelligence's impact on information content. Finally, some suggestions are put forward to optimize the ecological mechanism of network information content under the background of generative artificial intelligence: it is necessary to standardize the dissemination of generated synthetic content, strictly review the selection of generated model corpus, strengthen the ability of user information judgment and information screening, and clarify the copyright issues involved in generated content.

Key words

network information content ecology / generative artificial intelligence / grounded theory / influence mechanism

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Liu Ting , Zhou Jia , Xu Xiaofang , et al. Research on the Ecological Mechanism of Online Information Content in the Context of Generative Artificial Intelligence[J]. Knowledge Management Forum. 2026, 11(4): 0 https://doi.org/10.13266/j.issn.2095-5472.2026.027

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Funding

This work is supported by the National Social Science Fund of China, titled "Research on the Value Formation Mechanism and Release Path of Online Health Data Elements"(24CTQ047)

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