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ALGORITHMIC BIAS

YouTube Recommendation Algorithm Amplifying White Supremacist Radicalization Flowchart

A worked algorithmic bias example, rendered live. Open it in the AI editor and adapt it to your own case.

UPDATED 2026-09-23
TYPEFlowchart
USE-CASEAlgorithmic Radicalization Amplification
EXAMPLEYouTube Recommendation Algorithm Amplifying White Supremacist Radicalization Flowchart
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CASE ANALYSIS

Scenario

A user watches a video and the YouTube recommendation algorithm logs engagement; if fringe content dominates, repeated boosts and profile shifts can push the user toward a radicalized worldview.

Key decisions

  • Does the recommendation engine score mainstream or fringe affinity?
  • Does the user engage with more fringe content after the feed is dominated?
  • Has repeated exposure crossed the radicalization risk threshold?

When to reuse this

Use this flowchart to explain or audit recommender-system risks for extremism, train content moderators, or design deranking interventions.

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