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Volume 57 Issue 8
October 2025
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Citation: ZHAN Guobin and CHEN Yifan. Conceptual Model and Generation Mechanism of Deepfake Risks from the Perspective of Grounded Theory[J]. Academic Monthly, 2025, 57(8): 82-94. shu

Conceptual Model and Generation Mechanism of Deepfake Risks from the Perspective of Grounded Theory

  • In the digital era, deepfake technology pervades cyberspace, undermining the authenticity, transparency, and credibility of public governance through deception and threatening public and national security. Research shows that deepfake risks emerge from a dynamic, multi-mechanism process:technological capitalization kick-starts rapid commercialization; capital's power transformation weaponizes the technology for social manipulation by spreading misinformation; the risk catalysis mechanism is exacerbated by the low technical threshold and the manipulation of platform algorithms; positive feedback loops reinforce false content during diffusion; and finally, the risk transmission mechanism amplifies cross-domain and multi-level harm. Thus, a holistic governance framework integrating legal regulation, policy oversight, institutional standardization, international cooperation, and public participation is essential to ensure the legal and orderly application of deepfake technology in public governance.
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        Conceptual Model and Generation Mechanism of Deepfake Risks from the Perspective of Grounded Theory

        Abstract: In the digital era, deepfake technology pervades cyberspace, undermining the authenticity, transparency, and credibility of public governance through deception and threatening public and national security. Research shows that deepfake risks emerge from a dynamic, multi-mechanism process:technological capitalization kick-starts rapid commercialization; capital's power transformation weaponizes the technology for social manipulation by spreading misinformation; the risk catalysis mechanism is exacerbated by the low technical threshold and the manipulation of platform algorithms; positive feedback loops reinforce false content during diffusion; and finally, the risk transmission mechanism amplifies cross-domain and multi-level harm. Thus, a holistic governance framework integrating legal regulation, policy oversight, institutional standardization, international cooperation, and public participation is essential to ensure the legal and orderly application of deepfake technology in public governance.

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