Toolkit chevron_right Filter Bubble Sim

Filter Bubble Simulator

Watch how recommendation algorithms create echo chambers step by step.

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Algorithm Parameters

Engagement Weight0.7

Diversity Factor0.3

Homophily0.5

Algorithm Mode

User Profile

Step: 0

Diversity Score 1.00

Echo Chamber None

dynamic_feed Your Feed

Diversity Metrics Over Time

Topic Distribution

school Learning Point

Filter bubbles occur when recommendation algorithms over-optimize for user engagement, progressively narrowing content diversity. Try the Engagement-Optimized mode with high engagement weight to see a strong echo chamber form. Switch to Diversity-Aware or click Break the Bubble to see how algorithmic interventions can restore content diversity. The chart tracks 3 diversity metrics: Shannon entropy, Simpson index, and Gini coefficient.