农业图书情报学报

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社交媒体健康科普分享意愿的关键因素及传导路径

张克永1, 吴双2   

  1. 1. 蚌埠医科大学 医学信息与工程学院,蚌埠 233030
    2. 常州大学 商学院,常州 213159
  • 收稿日期:2025-12-05 出版日期:2026-02-12
  • 作者简介:

    张克永(1989- ),男,博士,讲师,研究方向为健康信息行为

    吴双(2002- ),男,硕士研究生,研究方向为健康信息行为

  • 基金资助:
    国家社科基金项目“我国老年人数字贫困的形成机理及消减对策研究”(21CTQ034)

Key Factors and Transmission Paths of Willingness to Share Social Media Health Science Information

ZHANG Keyong1, WU Shuang2   

  1. 1. School of Medical Information and Engineering, Bengbu Medical University, Bengbu 233030
    2. School of Business, Changzhou University, Changzhou 213159
  • Received:2025-12-05 Online:2026-02-12

摘要:

[目的/意义] 数字化浪潮与健康中国背景下,全社会健康信息素养提升面临高质量科普供给不足、公众传播积极性低的问题。本研究旨在探究社交媒体健康科普信息分享意愿的核心影响因素及其传导路径,为监管机构、科普平台等制定措施提供理论支撑。 [方法/过程] 采用“扎根理论-模糊DEMATEL-ISM”三阶设计:先通过半结构化访谈收集访谈数据,用扎根理论编码,提炼初始影响因素,构建多维度影响因素体系;再以模糊DEMATEL识别关键因素;最后用ISM法构建层级递阶结构,明晰传导逻辑与作用机制。 [结果/结论] 扎根结果明确影响因素分四大维度共13个,个人维度含人际交往特质、效用感知、健康信息素养、自我效能共4个,信息维度含信息质量、信源可信度、信息丰富度、信息清晰度共4个,平台维度含互动促进机制、平台技术共2个,社会维度包含社会经济、社会公共事件、群聚效应共3个。模糊DEMATEL显示,效用感知、健康信息素养、信息清晰度、社会经济为关键因素;ISM揭示了由浅至深的4层影响因素层次递阶结构,社会经济为最深层。并梳理出4条关键传导路径。针对研究结论,提出4条建议:首先,个人维度可调动用户主体作用;其次,信息维度可提升内容创作者、分享者的信息质量和清晰度;再者,平台维度可积极寻求与内容分享者合作并优化互动机制;最后,社会维度政府可提振健康科普产业发展。

关键词: 社交媒体, 健康科普信息, 影响因素, 传导路径, DEMATEL, ISM, 健康信息学

Abstract:

[Purpose/Significance] Against the backdrop of the digital wave and the Healthy China initiative, efforts to enhance national health information literacy face challenges, including an insufficient supply of high-quality popular science content and low public enthusiasm for its dissemination. This study aims to explore the internal driving forces, core influencing factors, and transmission paths of the willingness to share online health popular science information. It further intends to provide theoretical support for regulatory authorities and popular science platforms in formulating incentive policies and safeguard mechanisms, thereby promoting the participation of social entities in popular science dissemination, increasing the supply of high-quality popular science resources, and enhancing the health information literacy of the general public. [Method/Process] A three-stage research design of "Grounded Theory - Fuzzy DEMATEL - ISM" was adopted. Firstly, interview data from diverse groups were collected through semi-structured interviews. Grounded Theory was then applied to coding to extract initial influencing factors and construct a multi-dimensional driving force system. Secondly, Fuzzy DEMATEL was used to calculate the centrality and causality degrees, so as to identify key factors. Finally, the interpretive structural modeling (ISM) method was employed to integrate the influencing factors, establish a hierarchical structure, and clarify the transmission logic and action mechanism. This method not only enables the acquisition of the most original influencing factor system from interview materials but also reveals the interaction relationships among these factors, which is in line with the research requirements and trends in the field of information science. [Results/Conclusions] The results of Grounded Theory analysis identified 13 influencing factors, which are categorized into four dimensions. The personal dimension includes four factors: interpersonal interaction traits, perceived utility, health information literacy, and self-efficacy. The information dimension consists of four factors: information quality, information source credibility, information richness, and information clarity. The platform dimension comprises two factors: interaction promotion mechanism and platform technology. The social dimension contains three factors: social economy, social public events, and the clustering effect. Fuzzy DEMATEL analysis indicated that perceived utility, health information literacy, information clarity, and social economy are the key factors. ISM analysis revealed a 4-layer hierarchical structure of influencing factors from the superficial to the deep, with the social economy being the deepest-layer factor. Additionally, four key transmission paths were sorted out. Based on the research conclusions, four suggestions are proposed: Firstly, from the personal dimension, efforts should be made to mobilize the subjective role of users. Secondly, from the information dimension, the information quality and clarity for content creators and sharers should be improved. Thirdly, from the platform dimension, active cooperation with content sharers should be pursued and the interaction mechanism should be optimized. Finally, from the social dimension, the government should promote the development of the health popular science industry. In subsequent studies, empirical tests (such as structural equation modeling and fsQCA) can be incorporated to ensure the reliability and validity of the theory.

Key words: social media, health science information, key influencing factors, transmission path, DEMATEL, ISM, health informatics

中图分类号:  G206

引用本文

张克永, 吴双. 社交媒体健康科普分享意愿的关键因素及传导路径[J/OL]. 农业图书情报学报. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0701.

ZHANG Keyong, WU Shuang. Key Factors and Transmission Paths of Willingness to Share Social Media Health Science Information[J/OL]. Journal of library and information science in agriculture. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0701.