研究论文

社交媒体用户网络虚假信息易感性评估模型构建及实证研究

  • 莫祖英 ,
  • 李高慧 ,
  • 郭一鸣 ,
  • 司晨
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  • 1 天津师范大学大数据科学研究院 天津 300387;
    2 郑州航空工业管理学院信息管理学院 郑州 450046
莫祖英,教授,博士,E-mail:mozuying611@163.com;李高慧,硕士研究生;郭一鸣,硕士研究生;司晨,硕士研究生。

收稿日期: 2024-06-24

  修回日期: 2024-09-21

  网络出版日期: 2025-03-18

基金资助

本文系郑州航空工业管理学院科研团队“数据治理与智慧服务”(项目编号:24ZHTD02001)和河南省高校哲学社会科学应用研究重大项目“大数据视域下网络舆情的综合治理策略研究”(项目编号:2024-YYZD-06)研究成果之一。

Assessment Model and Empirical Research on Social Media Users’ Susceptibility to Online Misinformation

  • Mo Zuying ,
  • Li Gaohui ,
  • Guo Yiming ,
  • Si Chen
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  • 1 Institute For Big Data Science, Tianjing Normal University, Tianjin 300387;
    2 School of Information Management, Zhengzhou University of Aeronautics, Zhengzhou 450046
Mo Zuying,professor,PhD,E-mail:mozuying611@163.com. Li Gaohui,master candidate;Guo Yiming,master candidate;Si Chen,master candidate.

Received date: 2024-06-24

  Revised date: 2024-09-21

  Online published: 2025-03-18

Supported by

This work is supported by the Data Governance and Intelligent Service Research Team at Zhengzhou University of Aeronautics (Grant No. 24ZHTD02001), and the Major Applied Research Project of Philosophy and Social Sciences in Henan Province's Universities, “Research on the Comprehensive Governance Strategies of Online Public Opinion from the Perspective of Big Data” (Grant No. 2024-YYZD-06).

摘要

[目的/意义] 构建社交媒体用户虚假信息易感性等级评估模型,以全面了解我国社交媒体用户对虚假信息易感的现状,从而为开展信息素养教育、提高虚假信息辨别力提供针对性指导与建议。[方法/过程] 全面梳理国内外虚假信息易感性相关研究,基于福格行为理论构建社交媒体用户虚假信息易感性等级评估指标体系,通过专家调查和层析分析法确定指标权重,采用模糊综合评价法对指标体系进行实证研究。[结果/结论] 构建包含3个一级指标、6个二级指标和19个三级指标的虚假信息易感性等级评估模型。实证结果表明,该模型具有较高的适用性,我国社交媒体用户虚假信息易感性等级评估总体上处于“较高易感”水平,进而提出针对性建议。

本文引用格式

莫祖英 , 李高慧 , 郭一鸣 , 司晨 . 社交媒体用户网络虚假信息易感性评估模型构建及实证研究[J]. 图书情报工作, 2025 , 69(6) : 107 -120 . DOI: 10.13266/j.issn.0252-3116.2025.06.009

Abstract

[Purpose/Significance] This article constructs an assessment model for social media users’ susceptibility to misinformation, analyzes the current state in China, and provides targeted guidance and suggestions for carrying out information literacy education and improving the ability to identify misinformation. [Method/Process] Based on the literature review of domestic and foreign studies on susceptibility to misinformation, this paper constructed an index system for assessing social media users’ susceptibility to misinformation based on Fogg behavioral theory. Indicator weights were determined through expert surveys and the Analytic Hierarchy Process (AHP). Furthermore, the fuzzy comprehensive evaluation method was used to empirically study the index system. [Result/Conclusion] A model for assessing the level of susceptibility to misinformation is constructed, comprising 3 first-level indicators, 6 second-level indicators, and 19 third-level indicators. The empirical results show that the model has high applicability, and the assessment of the susceptibility to misinformation of social media users in China is generally at a “relatively high” level. And then it puts forward targeted suggestions.

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