Tagging from personal to social
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Transcript of Tagging from personal to social
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Tagging – From Personal to Social:
Some Observations & Design PrinciplesRashmi Sinha
Uzanto
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Structure of Talk
• My Perspective
• Tagging on a Personal Level Compared to categorization
• Social Systems formed by Tagging
• Tagging & Wisdom of Crowds
• Some weaknesses
• 9 Design Principles
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Cognition in the wild
• Cognitive Anthropology: Understanding culture by understanding cognition
• Two main methods Pile Sorting Freelisting
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Free-listing
• Goals Explore boundaries & scope of
domain Capture cultural consensus Gain familiarity with user
vocabulary
• Strengths Simplicity Flexibility
Conducted as part of interview, or as written exercise
% of times items were mentioned
0
5
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Items
“Name all the x's you know.”
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Digital Categorization
Multiple concepts activated
Choose ONE of the activated concepts.
Categorize it!
Object worth
remembering (article, image…)
Analysis-Paralysis!
•Analysis Paralysis•Balancing your scheme•Over time – category boundaries change, labels obsolete
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• Cannot place in more than one place
• Disappears from view
• Mistakes are costly
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Tagging is simpler
Multiple concepts
are activated
Tagit!
Note all concepts
Object worth
remembering (article, image…)
•Goal is to categorize•Maps to cognitive process•Reduced load•Fun, Self-feedback, social feedback•Less balancing of scheme
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Tagging still leads to anxiety
• Differs from person to person And by domain
• Solution not simpler input process (though that could help) Confidence in finding
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Some hypothesis• Tagging takes lesser time than categorizing
Users generate tags/categorize for new emails / bookmarks Measure: Time to categorize compared to time for 1 OR 2 OR 3
tags
• Categories are more memorable than a tag Give users 30 secs. per item to generate tag OR categorize Measure: Recall of tag / category after a week
• Comparing different types of tags Personal tags are more memorable than Semantic ones
Measure: Tag recall after a week
Semantic tags are generated first Measure: Order of Semantic and Personal tag generation
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Hypothesis (cont)
• Hierarchy & non-exclusivity Compare time taken Recall Difficulty
Flat Hierarchical
Non-Exclusive
(A)
Tagging
(B)
Hierarchical Tagging
Exclusive (C)
Flat Categorization
(D)
Categorization
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The Personal to the Social
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Browsing alone
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Along together• Alone together
(Ducheneaut et al. CHI 2006) Passive presence of others Playing for the audience
but not necessarily interacting
• Social facilitation (Zajonc, 1960) Improvement in
performance in presence of others
Presence does not need to be active
Observed even in cockroaches!
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Tagging as second generation social network• Actually useful!
• Lots of weak ties (Granovetter: The strength of weak ties) Social networks emphasize strong ties (lists of contacts,
friendship ratings)
• Objects (tags) mediate social relationships Objects are reasons people affiliate with each other Provide context for relationship. Means for new relationships. Theory: Object centered sociality (sociologist Karin Knorr
Cetina)
• Application: Interest based groups Collaborative Tagging & Expertise in the Enterprise (John &
Seligman) Fringe Contacts: People Tagging for the Enterprise (Ferrell & Lau)
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Tagging and Wisdom of Crowds
1. Cognitive Diversity
2. Independence
3. Decentralization
4. Easy Aggregation
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1. Cognitive Diversity
• Need many perspectives for good answers
• Groups become homogenous Members bring less and less new information in Varying levels of insight & knowledge provide good mix
Better than everyone having a lot of knowledge!
• Diversity reduces groupthink Groupthink works by shielding members from outside
opinions Rationalize away counterarguments
• Diversity reduces conformity Chance that you will change opinion to match group
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2. Independence
• Keeps people’s mistakes from getting correlated (uncorrelated mistakes averaged out)
• Encourages people to bring in new viewpoints (diversity)
• Concept of Social Proof Milgram experiment People assume that groups know what they are doing Assuming crowd is wise, leads to herd like behavior
Can sometimes lead to good decisions
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2. Independence (cont.)• Information Cascades
Sequence of uninformed choices, building upon each other Example: Thai & Indian restaurant Information is imperfect – sometimes incorrect, sometimes
correct Decisions made in sequence
• Everyone relies on own information• And what everyone else is doing• Wrong information propagates down in a chain
Ideal when people make decision relying on private information
Compare Del.icio.us & digg Information Cascades can be good
Example: Iowa farmers decision about hybrid corn
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Imitation & Suggestion
• Intelligent & mindless imitation Human beings are imitation machines Imitation is a good thing
Bad when you don’t reply on private information And don’t make independent judgment
• Example: Japanese macaques learning to separate wheat from stones
Build some method to let people evaluate tag suggestions
• Imitation & Suggestion in Tagging Systems Lazy Sheep bookmarklet Google Suggest approach Towards the Semantic Web: Collaborative Tag Suggestions (Xu
et al.) Implicit Tagging using Donated Bookmarks (Markines, et al.)
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3. Decentralization
• Encourages independence
• Takes advantage of tacit knowledge People have specialized knowledge that might not be
communicable to right person in centralized structure Problems: Valuable information uncovered in one part of
the system does not get communicated to another part Need some type of loose coordination
“A crowd of decentralized people working to solve a problem on their own without any central effort to guide them, come up with better solutions, rather than a top-down driven solution.” Suroweicki
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4. Easy Aggregation
• A decentralized system can pick right solution With easy way for information to be aggregated across
system
• Example: Francis Galton A crowd of people made independent decisions He added the votes
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Some Weaknesses of tag-based Social Systems
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1. Tag Specificity, Expertise & Perspective• Shirky example: Dewey Decimals
categorization of world religionsWhat about Flickr?
Hinduism: 6512 photosChristianity: 5207 photos
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Tagging systems are better, but…
• Tagging systems represent people who participate in them Their viewpoints & perspective
• Types of biases In-groups might use more specific tags than Out-groups Experts might use more specific tags than novices
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2. No easy way to show minority viewpoint• Consensus viewpoint bubbles up
How to give alternative viewpoints a voice?
• Example: Catholic Church recognizes Devil’s advocate
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3. Why Amazon tags did not work
• No clear articulation of benefits
• Mixed with other, more common participation methods
• Busy interface
• No organic growth (seeding with select few)
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• Too many options?
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4. Adoption by Average User
• Tag navigation does not suit user task?
• Users do not understand its for navigation?
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Design Principles for Tagging Systems
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#1: Make System Personally Useful
• For end-user system should have strong personal use Memorable Personal Snippets (e.g., Del.icio.us & Flickr) Self-expression (e.g., Newsvine) My expertise or interests (RawSugar)
• Don’t count on altruism System should thrive on people’s selfishness Incent the behavior you want
• Clearly communicate benefits to users Create a positive reinforcement cycle
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del.icio.us Useful before Saving First Link
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#2:Identify Symbiotic Relationship Between Personal & Social
• Individual participation in system should naturally aggregate into social stream What personal snippets do people like to share? Personal snippets > Social stream
Example• Pictures > Organized by Events• Music > Organized by Playlists
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#3: Make Porous Boundary Between Public & Private
• Earlier systems Personal (Personal Desktop
Software, e.g., Picasa, EndNote) OR Social websites (Shutterfly)
• Rethink public & private People will share for the right
returns Set defaults to public, allow
easy change to private Provide clear benefit of sharing
• Give user control Over individual pieces & sets Delete items from history Reset /remove profile
Privacy settings on Flickr
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#4: Provide Outlet for Self-expression• Creative self-expression
Artistic expression (Flickr, YouTube) Humor (YouTube)
• Individual piece should be small Can create sets & lists Do Mashups Simple, guessable URLs for
everything
• Leave room for games & social play Appreciation Stalking (some!) Gossip
Writers on Newsvine
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#4a. Allow for Different Types of Participation
• Social sites don’t require 100% active participation Implicit creation (creating by consuming) Remixing—adding value to others’ content
Source: Bradley Horowitz’s weblog, Elatable, Feb. 17, 2006, “Creators, Synthesizers, and Consumers”
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#4b. How to Encourage Participation• Insights from Social Psychology research
Highlight unique contribution Allow for smaller local groups Highlight benefit to self from participation Highlight benefit to group
Source: Using social psychology to motivate contributions to online communities, Ling et al. 2005
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#5. Provide Scent of Others in the System• What paths are well
worn, what are not
• User profiles / photos
• Real-time updating Feels like a
conversation sense that others
are out there
What people are digging right now!
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#6. And yet, Moments of Independence
• Choreography: when alone, when part of group
• Prevent mobs, optimize “wisdom of crowds”
• Don’t make it too easy to mimic others Incentives for
originality & uniqueness
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#7. Enable Serendipity
• Don’t make navigation all about popularity Access to some popular stuff (keep this fast moving)
• Make the “long tail” accessible Use popularity as a jump off point to other ways of
exploring
• Provide personalization Recommendations using collaborative filtering
Similar tags, content, others
• Ad-hoc groups?
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#8. Allow for alternative viewpoints & perspectives• Tags bias perspective in specific manner
People of a group know more Likely to use more specific tags Hence less exposure (no hierarchy)
Similar problem for experts
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#9. Keep input simple. Solve problems with good findability
• Tagging shows success of simplicity Don't’ increase cognitive cost of tagging
• Tagging systems can support different types of findability Some metaphors
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#9a. User Experience for Faceted Browse Interfaces
• User is in control
• Every movement (forward, making a turn) is a conscious choice
System should provide information at every step
• If user makes mistakes, she can go back or start againLike driving a car…
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#9b. User Experience with Recommender Systems
• User has less control over specifics of interaction
• System does not provide information about specifics of action
• More of a “black box” model (some input from user, output from systems)
Like riding a roller coaster…
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User Experience with Browsing Tagging Systems
• Pivot Browsing Move at a slower pace Get the lay of the land,
directly experience surroundings
Change paths when you want
Choose paths based on what looks promising, how well worn, what signs say
Like a hike in the woods
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You can do all three with tags• Faceted Systems from
Tags Inducing Ontology from
Flickr, Schmitz
• Collaborative Filtering from Tags Automatic Tag Clustering,
Begelman, Keller & Smajda
• Pivot Browsing on Tagging Systems Tag-Based Navigation for
Peer-to-Peer Wikipedia, Fokker et al.
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Parting thoughts
• Tagging is in the eyes of the tagger Can implicit tagging be tagging?
• Tagging by others is more useful than tagging by self Is tagging about harnessing consensus or personal
perspective?
• Will Categorization will be back? Better interface Non-exclusive
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Questions?
URLs
www.uzanto.com
www.rashmisinha.com
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• “In essence tag systems mirror the pagerank structure of Google's system, but make the internal structures browsable and viewable directly.” Lee Iverson