Coping with Homogeneous Information Flow in Recommender Systems: Algorithmic Resistance and Avoidance-Reference-Cited by-同舟云学术

Coping with Homogeneous Information Flow in Recommender Systems: Algorithmic Resistance and Avoidance

Published:2023-10-15 Issue: Volume: Page:1-14
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Zhang Liang¹^ORCID,Bi Wenjing¹^ORCID,Zhang Ning¹^ORCID,He Lifeng¹^ORCID

Affiliation:

1. School of Business, Qingdao University, Qingdao, China

Funder

National Social Science Fund of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2023.2267931

Reference100 articles.

1. Why Do People Abandon Activity Trackers? The Role of User Diversity in Discontinued Use

2. Understanding Coping Intentions of Fitness Tracker Users: An Empirical Investigation Using Fear Appeals

3. Bauer C. Fröbe M. Jannach D. Kruschwitz U. Rosso P. Spina D. & Tintarev N. (2023). Overcoming methodological challenges in information retrieval and recommender systems through awareness and education. arXiv preprint arXiv: 2305.01509.

4. Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill.

5. A system call-based android malware detection approach with homogeneous & heterogeneous ensemble machine learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coping Responses to the Stress of Using News Platforms’ Recommendation Algorithms;International Journal of Human–Computer Interaction;2024-07-02