This sequence examines the invisible algorithms that curate content on video platforms and social media. Students investigate the 'attention economy' and how algorithms predict user preferences to keep them engaged. By analyzing their own experiences and simulated feeds, they identify how recommendation engines can create 'filter bubbles.' The learning arc moves from understanding the mechanism of recommendation to evaluating its impact on critical thinking and exposure to new ideas.
