Assess students' ability to analyze how recommendation algorithms, user behaviors (sharing, engagement, selective exposure), and platform policies (moderation, monetization, transparency) interact to create feedback loops and amplify misinformation; tasks include identifying amplification mechanisms (virality metrics, echo chambers, algorithmic optimization), evaluating real-world examples, and proposing evidence-based interventions or policy/design trade-offs to reduce spread.