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 information isolation. By modeling user movement as a stochastic process, Lobste.rs contributors discuss how network topology drives polarization. Practitioners can use these metrics to audit recommendation engine bias.