| 耿铎,钱爱兵,吴尚,张君冬,赵阳,董荣雪.似真性”迷雾：伪健康信息的概念谱系、形成机制与协同治理[J].情报工程,2026,12(4):003-012 |
| 似真性”迷雾：伪健康信息的概念谱系、形成机制与协同治理 |
| The Fog of “Seeming Authenticity”: The Conceptual Spectrum, Formation Mechanisms, and Collaborative Governance of Pseudohealth Information |
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| DOI： |
| 中文关键词: 伪健康信息；信息治理；协同治理；特征分析 |
| 英文关键词: Pseudohealth Information; Information Governance; Collaborative Governance; Feature Analysis |
| 基金项目:教育部哲学社会科学研究重大课题攻关项目《中医药视角的全生命周期健康管理体制机制研究》（24JZD043）。 |
| 作者 | 单位 | | 耿铎 | 1. 南京中医药大学卫生经济管理学院 南京 210023； | | 钱爱兵 | 1. 南京中医药大学卫生经济管理学院 南京 210023； | | 吴尚 | 2. 徐州医科大学附属医院 徐州 221006； | | 张君冬 | 3. 南京大学信息管理学院 南京 210023 | | 赵阳 | 1. 南京中医药大学卫生经济管理学院 南京 210023； | | 董荣雪 | 1. 南京中医药大学卫生经济管理学院 南京 210023； |
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| 中文摘要: |
| [目的/意义]针对当前伪健康信息泛滥、干扰公众认知与决策的现实问题，本文围绕伪健康信息的概念谱系、生成机制与协同治理展开研究，旨在为其精准识别与系统治理提供理论基础，以提升健康信息生态的规范性与韧性。[方法/过程]通过系统梳理现有文献，首先对伪健康信息进行概念辨析与演变分析，明确其与虚假信息、误导信息等邻近概念的差异；进而借助“外–中–内”三重逻辑与三环嵌套模型解析其生成机制；最后基于此模型构建协同治理路径。[局限]本文主要基于文献分析与理论推演，尚未通过大规模实证数据验证生成机制模型的适用性，所提出的治理框架也需在具体实践情境中进一步检验其有效性。[结果/结论]构建多维度生成机制模型，并设计出协同治理框架，为相关主体识别与治理伪健康信息提供了理论依据与实践参考，有助于优化健康信息传播生态。 |
| 英文摘要: |
| [Purpose/Significance] In response to the current issue of pseudoscientific health information flooding the market,which interferes with public perception and decision-making, this article explores the conceptual genealogy, generation
mechanism, and collaborative governance of pseudoscientific health information. The aim is to provide a theoretical foundation for its precise identification and systemic governance to enhance the normative and resilient nature of the health information ecosystem. [Methods/Process] By systematically reviewing the existing literature, this study first analyzes the concept and evolution of pseudo-health information, clarifying its differences from related concepts such as false information and misleading information; it then interprets its generation mechanism using a “external-medium-internal” threefold logic and a three-ring nested model; finally, based on this model, a collaborative governance approach is proposed. [Limitations] This study primarily relies on literature analysis and theoretical deduction and has not yet validated the applicability of the generation mechanism model through large-scale empirical data. The proposed governance framework also requires further verification of its effectiveness in specific practical contexts. [Results/Conclusion] By constructing a multidimensional generative mechanism model and designing a collaborative governance framework, this provides a theoretical basis and practical reference for relevant entities to identify and govern misinformation related to health, contributing to the optimization of the health information dissemination ecosystem. |
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