August 26, 2025Open Access

The Formation Mechanism of Social Media Public Opinion Polarization under Algorithmic Bias

Key Points

Public opinion polarization is influenced by algorithmic bias in social media platforms, impacting user perceptions.
Cognitive imbalance from data-driven recommendation systems increases social fragmentation risks, and group opposition.
The study investigates social media dynamics in the context of Web 3.0, focusing on recommendation systems.
Understanding these mechanisms may help address growing issues in public discourse and social cohesion.

Abstract

In the era of Web 3.0, data-driven recommendation systems dominate the dissemination of social media information, leading to issues such as cognitive imbalance, public opinion polarization, group opposition, and hidden risks of social fragmentation. This study reveals the mechanism of algorithmic bias on public opinion polarization, providing reference for understanding the social media public opinion ecology.

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Cite This Study

Yu-Zhe He (Tue,) studied this question.

synapsesocial.com/papers/68af6203ad7bf08b1eae2e97 https://doi.org/https://doi.org/10.54254/2755-2721/2025.26216