Artificial Intelligence Empowers Situation Awareness in Network Information Dissemination: Value Logic, Real-World Challenges, and Practical Pathways

Abstract

Artificial intelligence is profoundly reshaping the governance paradigm and interactive modalities of situation awareness in network information dissemination. This paper systematically elaborates on its value logic, characterized by the shift from "experience-driven" to "data-driven" approaches and from "passive response" to "active early warning." It further provides an in-depth analysis of the real-world challenges, including institutional lag, data silos, insufficient coordination among stakeholders, and the disconnection between humans and machines. Accordingly, it proposes pathways such as improving the national governance system, deepening the application of intelligent algorithms, constructing a pluralistic coordination mechanism, and refining closed-loop human-machine governance, thereby providing solid theoretical support and a technical basis for network information governance.