Introduction Echo Chambers, a typical media phenomenon shaped by technological algorithms, user behavior, and social structures in the digital age, refer to a state where individuals, due to algorithmic precision and self-preferential filtering, are long confined to a closed environment of homogeneous information, viewpoints, and values, gradually becoming isolated from diverse perspectives (Sunstein, 2006). First systematically proposed by Harvard Law School professor Cass R

In the digital era, algorithms have deeply permeated information dissemination and social decision-making, yet the negative impacts of algorithmic bias and filter bubbles have become increasingly prominent, not only exacerbating cognitive closure but also amplifying social inequality. Pariser (2011) first proposed the concept of "filter bubbles", pointing out that algorithms filter heterogeneous information based on user preferences, trapping individuals in homogeneous inform

Introduction In the digital age, social media platforms provide us with personalized content through algorithmic recommendation systems. However, these algorithms often introduce biases, leading to unequal and inaccurate information presentation. Algorithmic bias not only affects individual information consumption but also has profound implications for social equity and democratic processes. Detailed Explanation Algorithmic bias refers to systematic errors or injustices that