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<p>Although information sharing enables the continuous development of short-form video platforms, existing studies provide limited insights into the factors that facilitate this behavior. Building upon dual-systems theory, this study explores how the reflexive system (i.e., impulsive system and habitual system) and reflective system influence users’ information sharing on short-form video platforms. This work empirically validates the proposed research model by employing a survey of 380 TikTok users. The most prominent age group was 31–40 years (32.4%), followed by those aged 41 or above (27.7%) and 26–30 years (19.7%). The results show that social imitation and personal impulsiveness positively influence impulse, which subsequently fosters information sharing. Similarly, frequency of past behavior and satisfaction with past behavior positively affect habit, which in turn influences information sharing. Furthermore, self-presentation, privacy concerns, and social rewards influence information sharing. Our findings offer theoretical insights into the information sharing literature and dual-systems theory, as well as provide practical guidance for promoting information sharing on these platforms.</p>

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Understanding information sharing in short-form video platforms: from the perspective of dual-systems theory

  • 期刊论文

  • 发表日期：

    2026年1月10日

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  • Ruihe Yan,
  • Xu Hu

摘要

Although information sharing enables the continuous development of short-form video platforms, existing studies provide limited insights into the factors that facilitate this behavior. Building upon dual-systems theory, this study explores how the reflexive system (i.e., impulsive system and habitual system) and reflective system influence users’ information sharing on short-form video platforms. This work empirically validates the proposed research model by employing a survey of 380 TikTok users. The most prominent age group was 31–40 years (32.4%), followed by those aged 41 or above (27.7%) and 26–30 years (19.7%). The results show that social imitation and personal impulsiveness positively influence impulse, which subsequently fosters information sharing. Similarly, frequency of past behavior and satisfaction with past behavior positively affect habit, which in turn influences information sharing. Furthermore, self-presentation, privacy concerns, and social rewards influence information sharing. Our findings offer theoretical insights into the information sharing literature and dual-systems theory, as well as provide practical guidance for promoting information sharing on these platforms.