dailyai.report

Random walk mixing times reveal how users get trapped in algorithmic clusters. This research examines the mathematical structure of social media "rabbit holes" to quantify how quickly information spreads or stagnates. It provides a framework for auditing recommendation engines. Practitioners can use these metrics to detect and mitigate echo chambers in ML discovery systems.