摘要
随着大数据时代的到来和短视频内容的爆炸式增长,短视频平台越来越重视用户的个性化需求,算法推荐服务成为主要的市场推广手段,导致信息窄化现象日益突出。本研究以抖音为例,基于技术接受模型(TAM)探讨信息窄化对用户信息采纳意愿的影响。研究发现,短视频平台的信息窄化对用户信息采纳意愿有正向影响,信息有用性和易用性在这一过程中起中介作用,用户算法素养起调节作用。本研究扩展了TAM的应用范围,深化了对信息窄化问题的理解,为后续研究提供了参考。
With the advent of the big data era and the explosive growth of short video content,short video platforms increasingly prioritize users'personalized needs.Algorithmic recommendation services have become a primary marketing strategy,exacerbating the phenomenon of information narrowing.This study,using Douyin as a case study and based on the Technology Acceptance Model(TAM),examines the impact of information narrowing on users'willingness to adopt information.The findings reveal that information narrowing on short video platforms positively influences users'willingness to adopt information,with information usefulness and usability playing mediating roles and user algorithm literacy serving as a moderating factor.This research expands the application of TAM,enhances understanding of the information narrowing phenomenon,and provides a reference for future studies.
出处
《图书馆研究与工作》
2025年第1期5-12,共8页
Library Science Research & Work
关键词
信息窄化
信息有用性
信息易用性
技术接受模型
用户算法素养
information narrowing
information usefulness
information usability
technology acceptance model
user algorithm literacy
