Assess students' understanding of how social media recommendation algorithms operate, the sources and types of algorithmic bias, and their effects on information exposure—including filter bubbles, echo chambers, amplification of misinformation, and unequal visibility. The quiz will cover basic algorithm mechanisms (e.g., ranking, collaborative filtering), real-world examples of biased outcomes, methods to evaluate bias (metrics, audits), and mitigation and ethical strategies (diversity-aware design, transparency, user controls). Suitable for grade 9–12 learners to analyze causes, impacts, and remedies at a conceptual and applied level.