Assess students' understanding of how social media algorithms (personalization, ranking, recommendation systems) influence information spread, create filter bubbles/echo chambers, and shape public opinion and polarization. Tasks include identifying core algorithmic mechanisms, analyzing short case studies or simulated diffusion data, recognizing bias and misinformation amplification, and evaluating media-literacy and mitigation strategies. Suitable for Grade 9–12; requires conceptual explanations and moderate analysis.