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Social Information Architecture Workshop

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My presentation for the Social IA Workshop at the IA Summit (March 22, 2007)

My presentation for the Social IA Workshop at the IA Summit (March 22, 2007)

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  • Transcript

    • 1. Social Information Architecture IA Summit 2007 Las Vegas, Nevada March 22, 2007
    • 2. Today’s Agenda
      • 8:30 Introduction to Social IA
      • 10:15 Tagging and Folksonomies
      • 1:00 Designing for Social Sharing
      • 3:30 Presentations, Q & A
      • 5:00 Wrap-up & Drinks
    • 3. About the Exercises
      • We’ll break into small groups (5 or 6 people)
      • Work with the same group all day
      • Each speaker has different exercises
      • Speakers might influence each others’ exercises
      • Present in the afternoon
    • 4. Speakers
      • Rashmi Sinha
      • Thomas Vander Wal
      • Gene Smith
    • 5.
      • Information Architecture is the
      • Structural design of shared information environments
    • 6.
      • Information Architecture is the
      • Structural design of shared information environments
      • Shared design of semi-structured information environments
    • 7. Social information architecture
      • User actions create some or all of the structure of an information environment
      • Using the wisdom of crowds to solve the problems of IA
        • Find, use and interact in information environments
    • 8.  
    • 9.  
    • 10.  
    • 11.  
    • 12.  
    • 13.  
    • 14.  
    • 15.  
    • 16. Why is social IA important?
      • Growth in online collaboration
      • Emergence of web as social infrastructure
      • Increasing interest in using social media for business purposes
      • Pressure to move beyond hand-crafted IA
    • 17. Recent Trends
      • Mass amateurization
      • Mass collaboration
      • Online sharing
      • Explosion of web-based social technologies
    • 18. Social Software Definition
      • Social software enables people to rendezvous, connect or collaborate through computer-mediated communication.
        • Wikipedia
    • 19. More Social Software Definitions
      • Software that treats groups different that individuals
      • Stuff that gets spammed
      • “ people will bend communications tools to social uses”
        • Clay Shirky
    • 20. Social Software Building Blocks
    • 21. Wisdom of Crowds
      • Under the right conditions, groups are smarter than individuals
      • Conditions
        • Diversity
        • Independence
        • Decentralization
        • Aggregation
    • 22. Architectures of Participation
      • Systems designed
        • For user contribution
        • Around the culture and economics of openness
        • For individuals, groups and crowds
    • 23. Creators, Synthesizers and Consumers
    • 24. A Digression…
    • 25.  
    • 26.  
    • 27.  
    • 28. Yahoo’s Popular Photos
      • Different actions lead to different patterns
      • Patterns are consistent (but subtle)
      • This is information architecture
      • Need to understand them if we are to create structure from them
    • 29.  
    • 30. Three ingredients for social IA
      • Capture User Actions
      • Aggregate and Display
      • Feedback
    • 31. User Actions
    • 32. User Actions
      • Things people do online that we can track
      • Building blocks
        • Popularity
        • Community
        • Reputation
      • Ignore higher goals & motivations
    • 33.  
    • 34.  
    • 35.  
    • 36.  
    • 37.  
    • 38.  
    • 39. Del.icio.us
    • 40. Amazon
    • 41. YouTube
    • 42. The Genius of Digg
    • 43.  
    • 44. Aggregation & Display
      • Bringing together user actions in a relevant way
      • Displaying them
      • Rules
    • 45. Kinds of Aggregation (not an exhaustive list)
      • Listing
      • Ranking
      • Clustering
      • Collaborative filtering
      • Other algorithms
    • 46. Listing (and prototagging)
    • 47. Ranking
      • Count an action
      • Order them
    • 48.  
    • 49. NYTimes.com
    • 50. Clustering
    • 51. Collaborative Filtering
    • 52. Other Algorithms
    • 53. Interestingness
    • 54. Feedback
    • 55.
      • A feedback loop is a system where outputs are fed back into the system as inputs, increasing or decreasing effects.
      • - Wikipedia
    • 56. Positive Feedback
      • First, close your eyes
      • Listen for clapping
      • If you hear a clap, you must also clap
      • Try to clap within 0.5 seconds
      • Don’t stop until I say stop
    • 57. Negative Feedback
      • First, close your eyes
      • Listen for clapping
      • If you hear a clap, you must also clap
      • Try to clap within 0.5 seconds
      • Once you’ve clapped, you can’t clap again for two seconds
    • 58. Positive feedback
      • If someone immediately around you has their hand up, raise your hand
      • For now, ignore empty chairs
    • 59. Negative feedback
      • If the person immediately in front of you or to your left has their hand, raise your hand
      • If they put their hand down, put your hand down
    • 60. Feedback fuels system
    • 61. Positive feedback in Digg
    • 62. Positive feedback in Digg
    • 63.  
    • 64. Democradig
    • 65.  
    • 66. Tagging Suggestions
    • 67.
      • “ There are obvious dangers in establishing a positive feedback loop where potentially unsuitable tags may be reused due to the tag’s initial popularity and subsequent exposure as a tag recommendation. This leads one to wonder whether it is preferable to have popular (but perhaps not intuitively obvious) tags, or to have a larger spread of relatively uncommon tags, possibly representing more accurate reflections or a wider spread of points of view”
        • Marieke Guy & Emma Tonkin
    • 68. Places to Intervene (also not an exhaustive list)
      • Introduce delays
      • Modify the strength of feedback loops
      • Who has access to what information?
      • Adjust incentives and punishments
      • Change the system
    • 69. Challenges
      • Spam
      • Gaming
      • Balance
      • Relevance
      • Unintended consequences
    • 70. Design Principles
      • Allow for different levels of engagement
      • Monitor and tweak feedback loops
      • Trade-offs: transparency v. gaming
        • Digg started simple, became more complicated to deal with gaming (but also became less satisfying to use)
      • Participate in larger ecosystem
        • YouTube is viral
      • Design new actions, aggregators, display
    • 71. Exercise