How Social Media Can Solve the Problem of “Filter Bubbles” Under the NewMedia Algorithm Recommendation Mechanism the Example of Tik Tok

DOI

10.2991/978-2-38476-062-6_165How to use a DOI?

Keywords

Filter bubble; algorithmic recommendation mechanism; new media; Tik Tok; social media

Abstract

In the age of new media, social media platforms have attempted to deliver accurate information to users through algorithmic recommendation technology. While this has helped reduce the problem of information overload, it has also led to the formation of “Filter Bubbles.” This article explores the concept and root cause of “Filter Bubbles” in the context of algorithmic recommendation mechanisms, using Tik Tok as a case study. The purpose is to gain a deeper understanding of “Filter Bubbles” from an algorithmic perspective and to provide suggestions for breaking these “Filter Bubbles” in the future, promoting better management and operation of social media.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Siyao Chen
PY  - 2023
DA  - 2023/07/11
TI  - How Social Media Can Solve the Problem of “Filter Bubbles” Under the NewMedia Algorithm Recommendation Mechanism the Example of Tik Tok
BT  - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
PB  - Atlantis Press
SP  - 1284
EP  - 1288
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-062-6_165
DO  - 10.2991/978-2-38476-062-6_165
ID  - Chen2023
ER  -