Analysis reveals algorithmic bias impacts public opinion polarization in social media, suggesting risks for social fragmentation.
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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Yu-Zhe He (2025) studied this question.
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