摘要
短视频平台作为一种新兴的内容生产方式,通过智能算法嵌入到生产环节,变成了内容生产与用户需求间信息匹配与反馈的自主系统。这一过程正是通过算法推荐得以完成的。本文通过实证分析,揭示了短视频内容供给、算法推荐相似性及其与用户需求之间的自组织机制。研究显示,短视频内容价值、互动价值、娱乐价值显著影响用户传播认同度和传播参与度,算法推荐通过精准匹配用户偏好,可以提升内容质量、用户体验和平台传播效果。本文可以为短视频平台运营和算法技术发展提供一定的理论启迪。
Short video platforms,as an emerging mode of content production,have become an autonomous system for information matching and feedback between content production and user demands through the embedding of intelligent algorithms into the production process.This process is accomplished through algorithmic recommendations.In this paper,through empirical analysis,the self-organizing mechanisms among short video content supply,the similarity of algorithmic recommendations,and user demands were revealed.The research indicates that the content value,interactive value and entertainment value of short video significantly affect the users'communication recognition and communication participation,and algorithmic recommendations can enhance content quality,user experience,and platform dissemination effects by accurately matching user preferences.This paper's work can provide theoretical insights for the operation of short video platforms and the development of algorithmic technology.
作者
周赟
董卉君
刘哲
ZHOU Yun;DONG Huijun;LIU Zhe(School of Economics and Management,Communication University of China,Beijing 100024,China)
出处
《信息传播研究》
2025年第1期20-30,共11页
Information and Communication Research
基金
中国传媒大学科研托举项目(CUC24BS46)。
关键词
短视频
算法推荐
供求关系
自组织
short videos
algorithmic recommendations
supply and demand relationship
self-organization
