The Influence of Algorithmic Personalization on Users’ Algorithmic Resistance Behavior on Social Media Platforms

DOI

10.2991/978-2-38476-597-3_33How to use a DOI?

Keywords

personalized algorithmic recommendation; algorithmic resistance behavior; information narrowing; psychological reactance; algorithmic literacy; S-S-O theory

Abstract

Although personalized algorithmic recommendation services on social media platforms have enhanced the efficiency of information searching, it has the potential to induce “information cocoons” and trigger users’ algorithmic resistance behavior. Based on the S-S-O (Stressor-Strain-Outcome) theoretical framework, this study attempts to explain how perceived personalization (Stressor) influences algorithmic rebellion behavior (Outcome), a proactive algorithmic resistance behavior. Additionally, it takes information narrowing and psychological reactance (Strain) as mediating variables, and algorithmic literacy as a moderating variable. Empirical results from 192 high-educated young people indicate that perceived personalization positively predicts algorithmic rebellion behavior, information narrowing, and psychological reactance play partial mediating roles in the relationship between perceived personalization and algorithmic rebellion behavior, and algorithmic literacy plays a moderating role in the aforementioned relationship. Our study enriches the research content of algorithmic resistance behavior, extends the application of the S-S-O theoretical framework, and provides insights for optimization and governance of platform algorithms.

Copyright

© 2026 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  - Shiyu Li
PY  - 2026
DA  - 2026/07/13
TI  - The Influence of Algorithmic Personalization on Users’ Algorithmic Resistance Behavior on Social Media Platforms
BT  - Proceedings of the 4th International Conference on Language and Cultural Communication (ICLCC 2026)
PB  - Atlantis Press
SP  - 301
EP  - 312
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-597-3_33
DO  - 10.2991/978-2-38476-597-3_33
ID  - Li2026
ER  -