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Social Information Architecture IA Summit 2007 Las Vegas, Nevada March 22, 2007
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
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
Speakers Rashmi Sinha Thomas Vander Wal Gene Smith
Information Architecture is the Structural design of shared information environments
Information Architecture is the Structural design of shared information environments Shared design of semi-structured information environments
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
 
 
 
 
 
 
 
 
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
Recent Trends Mass amateurization Mass collaboration Online sharing Explosion of web-based social technologies
Social Software Definition Social software  enables people to rendezvous, connect or collaborate through computer-mediated communication. Wikipedia
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
Social Software Building Blocks
Wisdom of Crowds Under the right conditions, groups are smarter than individuals Conditions Diversity Independence Decentralization Aggregation
Architectures of Participation Systems designed  For user contribution Around the culture and economics of openness For individuals, groups  and  crowds
Creators, Synthesizers and Consumers
A Digression…
 
 
 
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
 
Three ingredients for social IA Capture User Actions Aggregate and Display Feedback
User Actions
User Actions Things people do online that we can track Building blocks Popularity Community Reputation Ignore higher goals & motivations
 
 
 
 
 
 
Del.icio.us
Amazon
YouTube
The Genius of Digg
 
Aggregation & Display Bringing together user actions in a relevant way Displaying them Rules
Kinds of Aggregation (not an exhaustive list) Listing Ranking Clustering Collaborative filtering Other algorithms
Listing (and prototagging)
Ranking Count an action Order them
 
NYTimes.com
Clustering
Collaborative Filtering
Other Algorithms
Interestingness
Feedback
A  feedback loop  is a system where outputs are fed back into the system as inputs, increasing or decreasing effects.  -  Wikipedia
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
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
Positive feedback If someone immediately around you has their hand up, raise your hand For now, ignore empty chairs
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
Feedback fuels system
Positive feedback in Digg
Positive feedback in Digg
 
Democradig
 
Tagging Suggestions
“ 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
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
Challenges Spam Gaming Balance Relevance Unintended consequences
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
Exercise

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Social Information Architecture Workshop