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User-Generated Content

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Presentation for Internet Librarian 2007 by Meredith Farkas and Joshua Petrusa.

Presentation for Internet Librarian 2007 by Meredith Farkas and Joshua Petrusa.

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  • 1. User-Generated Content
    • Josh Petrusa
    • Meredith Farkas
  • 2. Web 1.0: Democratized access to information
  • 3. Web 2.0: Democratized participation
  • 4. What is user-generated content? Tags Ratings Custom collections Online community contributions Wiki contributions Comments Blog posts Audio and video Photos
  • 5. Why User-Generated Content?
    • We don’t know everything
    • Insufficient metadata
    • Findability and refindability
    • Stories people tell about items are of value
    • Interaction with materials creates a more personal connection
    • People are already doing it!
      • 35% of online adults, 57% of teens (Pew, 2006)
  • 6. Tags
    • User-created descriptive metadata
    • Folksonomy - system of organizing through tagging.
  • 7. dog brooklyn ice cream factory Ice Cream NY corgi summer girl ice cream LaSalle puppy bad owner How will people search for this? Many ways to describe...
  • 8. Where the tags are
  • 9. Where the tags are
  • 10. Where the tags are
  • 11. Why tags?
    • Lets people make sense of content using their own vocabulary (cinema? movies? film? motion picture?)
    • Helps people to re-find their own content
    • Helps people to discover new content
    • Good solution for situations where content can’t be formally cataloged.
  • 12. Why not?
    • No control
    • People can use plural or singular words, use dashes or underscores to connect words, etc.
    • Multiple terms to describe a single concept
    • No disambiguation
    • People tag selfishly (to_read, chapter1, EN101)
    • People tag incorrectly
    • “ Tagging bulldozes the cost of classification and piles it on the price of discovery.” (Ian Davis of Talis)
  • 13. Improving tagging
  • 14. Improving tagging
  • 15. Examples of user-generated content
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  • 39. The library Our users
  • 40. Issues
    • Moderation
    • Technology issues (how to make this happen?)
    • Differentiating between user content and institutional content
    • Making it easy and appealing to contribute
    • Letting people do what they want with their data
    • If you build it, will they come? Evaluate your population
  • 41. Thanks! [email_address] [email_address] Links and slides at meredithfarkas.wetpaint.com Links and slides at meredithfarkas.wetpaint.com

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