图书情报知识 ›› 2025, Vol. 42 ›› Issue (6): 98-111.doi: 10.13366/j.dik.2025.06.098

• 情报、信息与共享 • 上一篇    下一篇

楚门的世界:短视频虚假信息多模态特征及其传播效果

付少雄1, 朱梦蝶2, 杨海燕1, 王思博1   

  1. 1. 南京农业大学信息管理学院,南京,210095;
    2. 南京大学信息管理学院,南京,210023
  • 出版日期:2025-11-10 发布日期:2026-01-17
  • 通讯作者: 朱梦蝶(ORCID: 0000-0003-4022-5899),博士研究生,研究方向:用户行为与知识服务,Email: zhu1141910533@qq.com。
  • 作者简介:付少雄(ORCID: 0000-0002-5166-3141),博士,副教授,研究方向:用户行为与信息服务,Email:fu_shaoxiong@163.com;杨海燕(ORCID: 0009-0007-3165-9704),硕士研究生,研究方向:用户信息行为,Email: 1348364518@qq.com;王思博(ORCID: 0009-0004-7705-3001),硕士研究生,研究方向:用户信息行为,Email:7 39123951@qq.com。
  • 基金资助:
    本文系国家社会科学基金项目“信息操纵影响下短视频虚假信息传播行为及其干预研究”(22CTQ018)的研究成果之一。

The Truman Show: Multimodal Features and Its Dissemination Effects of False Information in Short Videos

FU Shaoxiong1, ZHU Mengdie2, YANG Haiyan1, WANG Sibo1   

  1. 1. College of Information Management, Nanjing Agricultural University, Nanjing, 210095;
    2. School of Information Management, Nanjing University, Nanjing, 210023
  • Online:2025-11-10 Published:2026-01-17
  • Contact: Correspondence should be addressed to ZHU Mengdie, Email: zhu1141910533@qq.com, ORCID: 0000-0003-4022-5899.
  • Supported by:
    This is an outcome of the project "Research on the Dissemination of False Information and its Intervention on Short Video Platforms under the Influence of Information Manipulation"(22CTQ018)supported by National Social Science Foundation of China.

摘要: [目的/意义]识别短视频虚假信息的多模态特征,探究多模态特征对短视频虚假信息传播的影响。[研究设计/方法]采集抖音平台中的真实短视频虚假信息,基于CARS列表与多模态话语关系,设计短视频虚假信息多模态特征的初始编码示例框架,进行中文语境下面向短视频虚假信息内容的情境化。结合内容编码,提炼短视频虚假信息多模态特征。基于此,结合回归分析法,探究影响短视频虚假信息传播效果的关键特征。[结论/发现]构建中文语境下面向短视频虚假信息内容的多模态特征列表,涵盖文本、音频、图像以及多模态关联四个模态维度,各模态维度间的主要特征及其常见表征具有差异性,对短视频虚假信息的综合传播效果,以及传播认同度、传播广度与传播参与度的影响各异。[创新/价值]为短视频虚假信息特征研究提供理论与实践支撑,辅助后续短视频虚假信息的识别,深化网络生态治理。

关键词: 短视频平台, 虚假信息, 多模态特征, 内容分析, 传播效果

Abstract: [Purpose/Significance] This research aims to identify the multimodal features of false information in short videos and explore the influencing of the multimodal characteristics on the dissemination of false information in short videos. [Design/Methodology] This research collects short-video false information from the TikTok platform, designs an initial coding example framework of short-video false information with multimodal characteristics based on the CARS list and multimodal discourse relationship, and then contextualizes the framework based on the content of short-video false information in the Chinese context. As such, combined with the content coding, the multimodal features of short-video false information are refined. Based on this, the regression analysis method is combined to explore the key features affecting the dissemination effects of short-video false information. [Findings/Conclusion] A list of multimodal features of short-video false information in the Chinese context is constructed, covering four modal dimensions: text, audio, image, and multimodal association. The principal features and their common representations among the four modal dimensions are different ,exerting different impacts on the comprehensive dissemination effect, dissemination recognition, dissemination breadth, and dissemination participation of short-video false information. [Originality/Value] This research provides theoretical and practical support for the research on the characteristics of short-video false information, assists the identification of subsequent short-video false information, and deepens the network ecological governance.

Keywords: Short video platform, False information, Multimodal feature, Content analysis, Dissemination effect