中国大众短视频应用中推荐算法的阴暗面：感知到的过度推荐对用户认知失调和中断意向的影响

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Interaction Pub Date : 2024-07-29 DOI:10.1080/10447318.2024.2383038

Xiaofeng Lv, Jing Li, Qingyang Wang

引用次数: 0

摘要

在数字时代，人类与算法的互动已变得无处不在。短视频应用程序的普及使人们有更多机会接触算法推荐系统，并从中获得更多经验，但...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Dark Side of Recommendation Algorithms in Chinese Mass Short Video Apps: Effect of Perceived Over-Recommendation on Users’ Cognitive Dissonance and Discontinuance Intention

In the digital age, human-algorithm interaction has become ubiquitous. The popularity of short-form video apps has led to greater access to and experience with algorithmic recommender systems, but ...

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来源期刊

International Journal of Human-Computer Interaction 工程技术-计算机：控制论

CiteScore

9.00

自引率

21.30%

发文量

347

审稿时长

2 months

期刊介绍： The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing. It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.