Stanford Seminar - Algorithmic Extremism- Examining YouTube's Rabbit Hole of Radicalization

Stanford Seminar - Algorithmic Extremism- Examining YouTube's Rabbit Hole of Radicalization

Stanford Online via YouTube Direct link

Collecting YouTube data

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4 of 22

Collecting YouTube data

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Classroom Contents

Stanford Seminar - Algorithmic Extremism- Examining YouTube's Rabbit Hole of Radicalization

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  1. 1 Introduction
  2. 2 YouTube recommendations
  3. 3 Googles influence
  4. 4 Collecting YouTube data
  5. 5 Data collection
  6. 6 Parallelization
  7. 7 Statistics
  8. 8 Methodology
  9. 9 Visualization
  10. 10 Analysis
  11. 11 Left Front Bias
  12. 12 Personalization
  13. 13 Percent Recommendations
  14. 14 NonPolitical Groups
  15. 15 NonPolitical Channels
  16. 16 Facebook Recommendations
  17. 17 How does the recommendation algorithm work
  18. 18 Personalization experiments
  19. 19 Popularity recency
  20. 20 Algorithmic Extremism
  21. 21 Nonpartisan news
  22. 22 Why arent they symmetrical

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