What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work-Reference-Cited by-同舟云学术

What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work

Published:2022-07-04 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
language:
Short-container-title:

Author:

Michiels Lien¹,Leysen Jens¹,Smets Annelien²,Goethals Bart³

Affiliation:

1. Froomle, Belgium and Dept of Computer Science, University of Antwerp, Belgium

2. imec-SMIT, Vrije Universiteit Brussel, Belgium

3. Dept of Computer Science, University of Antwerp, Belgium and Faculty of Information Technology, Monash University, Australia

Funder

Agentschap Innoveren en Ondernemen

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511047.3538028

Reference33 articles.

1. Multistakeholder recommendation: Survey and research directions

2. Algorithmic Effects on the Diversity of Consumption on Spotify

3. Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems

4. Eytan Bakshy , Solomon Messing , and Lada A. Adamic . 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 ( 2015 ), 1130–1132. https://doi.org/10.1126/science.aaa1160 arXiv:https://www.science.org/doi/pdf/10.1126/science.aaa1160 Eytan Bakshy, Solomon Messing, and Lada A. Adamic. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 (2015), 1130–1132. https://doi.org/10.1126/science.aaa1160 arXiv:https://www.science.org/doi/pdf/10.1126/science.aaa1160

5. SIREN

Cited by 17 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. Towards long-term depolarized interactive recommendations;Information Processing & Management;2024-11

2. Brexit on Twitter: Unraveling the Dynamics of Polarization Over Time;Proceedings of the 25th Annual International Conference on Digital Government Research;2024-06-11

3. Filter Bubbles and the Unfeeling: How AI for Social Media Can Foster Extremism and Polarization;Philosophy & Technology;2024-06

4. Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Measuring the benefit of increased transparency and control in news recommendation;AI Magazine;2024-04-17