Quantitative Analysis of User-Generated Content on the Web

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    Quantitative Analysis of User-Generated Content on the Web - Presentation Transcript

    1. Quantitative Analysis of User-Generated Content on the Web Xavier Ochoa, ESPOL, Ecuador Erik Duval, KULeuven, Bélgica
    2. Topics
      • Why?
      • Studies
      • Findings
      • Implication of the Findings
      • Conclusion
      • FurterWork
    3. Why?
      • UGC economy:
        • Supply: Users publishing their content
        • Demand: Users viewing content from others
        • Currency: Attention
    4. Why?
      • Demand (Popularity) is relatively well understood:
      • But Supply (Publication) is not....
      How a ‘hit’ is born (S Sinha, RK Pan, 2006)
    5. Studies
    6. Studies
        • Descriptive Statistics
        • Distribution Fitting
        • Concentration Analysis
    7. Findings
      • Distribution of supply is not Normal
    8. Findings
      • Distribution of supply has a heavy tail
    9. Findings Lotka (“fat-tail”) Weibull (“fat-belly”)
    10. Implications of the Findings
      • There is not such thing as an “average user ”
    11. Low Class Middle Class High Class
    12. Implications of the Findings
      • The production of different UGC types is similar, but not the same.
    13. Implications of the Findings
      • Pareto Rule (80/20)
      • applies to UGC
      • (but no substitute to measuring)
    14. Implications of the Findings
      • “ Fat-tail” UGC production is similar to professional production.
    15. Implications of Findings
      • The distribution is not affected by site size
      • or production effort
    16. Implications of the Findings
      • Make your bet,
      • head or tail?
    17. 50% of Content is generated here
    18. 50% of Content is generated here
    19. Implications of the Findings
      • Informetrics can help us to understand UGC production
      • (and vice versa)
    20. Conclusions
      • Measuring is our only way to test our hypothesis about how Web works
      • If you admin a UGC-based site, measure production to gain insight on the other side of your economy
      • Inequality of Contribution of UGC is real and should be dealt with in all its variations.
    21. Further Work
      • Modeling Production of UGC
      • Integrate UGC inside the Informetrics / Scientometrics / Webometrics framework
      • Expand the data collection and analysis
        • Measure growth (size and contributors)
        • Measure production rate
        • Use at least 3 examples for each type of UGC
    22. Xie xie, questions? Xavier Ochoa – [email_address] Erik Duval – [email_address]

    + Xavier OchoaXavier Ochoa, 2 years ago

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