dailyai.report

Random walk mixing times reveal how users get trapped in algorithmic clusters. This research maps the mathematical structure of social media rabbit holes to explain why users rarely escape specific content silos. It provides a formal framework for understanding recommendation loops. Practitioners can use these metrics to quantify and mitigate filter bubble effects in discovery engines.