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平台特征对跨社交媒体UGC信息分享行为的影响机理研究

黄伟鑫 毕达天 杨阳 孔婧媛

现代情报2024,Vol.44Issue(2):115-129,15.
现代情报2024,Vol.44Issue(2):115-129,15.DOI:10.3969/j.issn.1008-0821.2024.02.010

平台特征对跨社交媒体UGC信息分享行为的影响机理研究

Mechanism of the Influence of Platform Features on UGC Information Sharing Behavior Across Social Media

黄伟鑫 1毕达天 1杨阳 2孔婧媛1

作者信息

  • 1. 吉林大学商学与管理学院, 吉林 长春 130012
  • 2. 吉林艺术学院马克思主义学院, 吉林 长春 130012
  • 折叠

摘要

Abstract

[Purpose/Significance]This research aims to explore the impact of platform characteristics on User-Gen-erated Content(UGC)sharing behavior across social media platforms,revealing new features of user behavior in cross-so-cial media scenarios.[Method/Process]Drawing from the Stimulus-Organism-Response(SOR)theoretical framework,the study constructed a mediating model to understand the influence of platform characteristics on cross-social media UGC sharing behavior.The paper integrated data from application stores,Baidu Index,and social media across time and plat-form dimensions,created a multi-source heterogeneous panel dataset as our sample.The hypotheses were tested to use a fixed-effects model.[Results/Conclusion]The platform's reputation and the iterative advancements in user service tech-nology positively influence cross-social media UGC sharing through perceived usefulness.Conversely,the platform's atten-tion level negatively affects sharing behavior via perceived usefulness.Moreover,the platform's reputation and iterative ad-vancements in user service technology have a negative moderating effect on the relationship between perceived usefulness and cross-social media UGC sharing.This study focuses on the sharing behavior of UGC across social media platforms,offering insights for UGC creators to adopt cross-platform content dissemination strategies and providing guidance for social media platforms to maintain a balanced ecosystem.

关键词

平台特征/跨社交媒体/信息分享行为/SOR模型/用户生成内容

Key words

platform features/cross-social media/information sharing behavior/SOR model/UGC

分类

社会科学

引用本文复制引用

黄伟鑫,毕达天,杨阳,孔婧媛..平台特征对跨社交媒体UGC信息分享行为的影响机理研究[J].现代情报,2024,44(2):115-129,15.

基金项目

国家社会科学基金一般项目"基于用户跨社交媒体的信息行为偏好特征挖掘与推荐研究"(项目编号:21BTQ059). (项目编号:21BTQ059)

现代情报

OA北大核心CHSSCDCSSCICSTPCD

1008-0821

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