HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead ,   Presentation Cameron Marlow, Mor Naaman, dan...
What Are Tags? <ul><li>“ A tag is a  keyword  or  descriptive term  associated with an item as means of classification by ...
Del.icio.us
Flickr
Why Yahoo? Yahoo, circa 1996
Why Yahoo? Yahoo, circa 2004
Why Yahoo? +
Motivation <ul><li>Introduce tagging for academic audiences </li></ul><ul><li>Create a common language for current practit...
Tagging Systems: Simple Model
Tagging - Simple Model <ul><li>Keywords </li></ul><ul><li>Describing connected resources </li></ul><ul><li>Sounds familiar...
What About Anchor Text? <ul><li>Democratization and personalization </li></ul><ul><li>Extent and scale </li></ul><ul><li>U...
Wait! Where Are We? Tagging Model Taxonomy Prelim Study Future Work
Taxonomy <ul><li>Create a common language  </li></ul><ul><li>Point out differences and generative factors </li></ul><ul><l...
Systems Taxonomy <ul><li>Who </li></ul><ul><li>How </li></ul><ul><li>What </li></ul><ul><li>Where from </li></ul><ul><li>…...
Tagging Rights <ul><li>Who is allowed to tag a resource? </li></ul>Self-tagging Open Permission-based
Tagging Support <ul><li>Does the system “help” in tagging? </li></ul>Blind Viewable Suggested
Tag Aggregation <ul><li>How tags for individual resources are aggregated </li></ul>Set Bag
Object Type <ul><li>What is the type of resource being tagged? </li></ul>Textual Non-textual
Object Source <ul><li>Where the object media originates from </li></ul>User-contributed Global System
Where are we now? Tagging Model Taxonomy Prelim. Study Future Work
Case Study: Flickr and Del.icio.us <ul><li>Flickr </li></ul><ul><ul><li>Rights: Permission-based </li></ul></ul><ul><ul><l...
Growth of tags <ul><li>Number of distinct tags in 10 user collections, over time </li></ul>Index of photo Total number of ...
Similar to del.icio.us? 1000 500 0 0  2500  5000 Figure from Golder et al, 2005 Index of bookmark Total number of distinct...
Together Index of photo Total number of distinct tags
Case Study: Flickr and Del.icio.us <ul><li>Flickr </li></ul><ul><ul><li>Rights: Permission-based </li></ul></ul><ul><ul><l...
Case Study: Flickr <ul><li>Nobody tags other people’s content </li></ul><ul><li>Why? </li></ul>Not collected Not identifie...
Almost done Tagging Model Taxonomy Prelim. Study Future Work
Future Research <ul><li>Search / IR </li></ul><ul><ul><li>Comparison of hypertext and tags </li></ul></ul><ul><ul><li>Spam...
Thank You <ul><li>Cameron Marlow </li></ul><ul><li>[email_address] </li></ul><ul><li>http://research.yahoo.com </li></ul><...
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HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Presentation

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Presentation given at Hypertext 2006 in Odense, Denmark on classifying tagging systems.

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  • Transcript of "HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Presentation"

    1. 1. HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead , Presentation Cameron Marlow, Mor Naaman, danah boyd, Marc Davis Yahoo! Research
    2. 2. What Are Tags? <ul><li>“ A tag is a keyword or descriptive term associated with an item as means of classification by means of a folksonomy. Tags are usually chosen informally and personally by the author / creator of the item — i.e. not usually as part of some formally defined classification scheme. Tags are typically used in dynamic, flexible, automatically generated internet taxonomies for online resources such as computer files, web pages, digital images, and internet bookmarks.” </li></ul><ul><li>Wikipedia, 2006 </li></ul>
    3. 3. Del.icio.us
    4. 4. Flickr
    5. 5. Why Yahoo? Yahoo, circa 1996
    6. 6. Why Yahoo? Yahoo, circa 2004
    7. 7. Why Yahoo? +
    8. 8. Motivation <ul><li>Introduce tagging for academic audiences </li></ul><ul><li>Create a common language for current practitioners </li></ul><ul><li>Point to potential and possible directions of further research </li></ul><ul><li>Method </li></ul><ul><ul><li>Develop a model of tagging </li></ul></ul><ul><ul><li>Survey existing systems and features </li></ul></ul><ul><ul><li>Develop taxonomy </li></ul></ul>Tagging Model Taxonomy Prelim. Study Future Work
    9. 9. Tagging Systems: Simple Model
    10. 10. Tagging - Simple Model <ul><li>Keywords </li></ul><ul><li>Describing connected resources </li></ul><ul><li>Sounds familiar? </li></ul>(Automatic resource compilation by analyzing hyperlink structure and associated text, Chakrabarti et al, 1998)
    11. 11. What About Anchor Text? <ul><li>Democratization and personalization </li></ul><ul><li>Extent and scale </li></ul><ul><li>User-inclusive model (not site- or page-based) </li></ul><ul><li>Notion of connected/related users </li></ul><ul><li>Intent of action (e.g., description vs. navigation or reference) </li></ul><ul><li>Richness of context </li></ul>
    12. 12. Wait! Where Are We? Tagging Model Taxonomy Prelim Study Future Work
    13. 13. Taxonomy <ul><li>Create a common language </li></ul><ul><li>Point out differences and generative factors </li></ul><ul><li>Two taxonomies </li></ul><ul><ul><li>Systems </li></ul></ul><ul><ul><li>Incentives (see paper) </li></ul></ul>
    14. 14. Systems Taxonomy <ul><li>Who </li></ul><ul><li>How </li></ul><ul><li>What </li></ul><ul><li>Where from </li></ul><ul><li>… </li></ul>Structure and nature of resulting tags
    15. 15. Tagging Rights <ul><li>Who is allowed to tag a resource? </li></ul>Self-tagging Open Permission-based
    16. 16. Tagging Support <ul><li>Does the system “help” in tagging? </li></ul>Blind Viewable Suggested
    17. 17. Tag Aggregation <ul><li>How tags for individual resources are aggregated </li></ul>Set Bag
    18. 18. Object Type <ul><li>What is the type of resource being tagged? </li></ul>Textual Non-textual
    19. 19. Object Source <ul><li>Where the object media originates from </li></ul>User-contributed Global System
    20. 20. Where are we now? Tagging Model Taxonomy Prelim. Study Future Work
    21. 21. Case Study: Flickr and Del.icio.us <ul><li>Flickr </li></ul><ul><ul><li>Rights: Permission-based </li></ul></ul><ul><ul><li>Support: Blind </li></ul></ul><ul><ul><li>Aggregation: Set </li></ul></ul><ul><ul><li>Type: Non-textual </li></ul></ul><ul><ul><li>Source: User-contributed </li></ul></ul><ul><li>Del.icio.us </li></ul><ul><ul><li>Rights: Owner </li></ul></ul><ul><ul><li>Support: Suggested </li></ul></ul><ul><ul><li>Aggregation: Bag </li></ul></ul><ul><ul><li>Type: Textual </li></ul></ul><ul><ul><li>Source: Global </li></ul></ul>
    22. 22. Growth of tags <ul><li>Number of distinct tags in 10 user collections, over time </li></ul>Index of photo Total number of distinct tags
    23. 23. Similar to del.icio.us? 1000 500 0 0 2500 5000 Figure from Golder et al, 2005 Index of bookmark Total number of distinct tags Scales are different!
    24. 24. Together Index of photo Total number of distinct tags
    25. 25. Case Study: Flickr and Del.icio.us <ul><li>Flickr </li></ul><ul><ul><li>Rights: Permission-based </li></ul></ul><ul><ul><li>Support: Blind </li></ul></ul><ul><ul><li>Aggregation: Set </li></ul></ul><ul><ul><li>Type: Non-textual </li></ul></ul><ul><ul><li>Source: User-contributed </li></ul></ul><ul><li>Del.icio.us </li></ul><ul><ul><li>Rights: Owner </li></ul></ul><ul><ul><li>Support: Suggested </li></ul></ul><ul><ul><li>Aggregation: Bag </li></ul></ul><ul><ul><li>Type: Textual </li></ul></ul><ul><ul><li>Source: Global </li></ul></ul>
    26. 26. Case Study: Flickr <ul><li>Nobody tags other people’s content </li></ul><ul><li>Why? </li></ul>Not collected Not identified Not prominent In user’s account As coming from the tagger In the interface, as “opinion” Not aggregated Can’t “vote” on tag/item pair
    27. 27. Almost done Tagging Model Taxonomy Prelim. Study Future Work
    28. 28. Future Research <ul><li>Search / IR </li></ul><ul><ul><li>Comparison of hypertext and tags </li></ul></ul><ul><ul><li>Spam detection </li></ul></ul><ul><li>Linguistics / NLP </li></ul><ul><ul><li>Taxonomy generation </li></ul></ul><ul><ul><li>Sociolinguistics </li></ul></ul><ul><li>Collaborative Filtering </li></ul><ul><ul><li>Identify trends (locally and globally) </li></ul></ul><ul><ul><li>Trust metrics </li></ul></ul><ul><ul><li>Identify influencers </li></ul></ul><ul><li>… </li></ul>
    29. 29. Thank You <ul><li>Cameron Marlow </li></ul><ul><li>[email_address] </li></ul><ul><li>http://research.yahoo.com </li></ul><ul><li>Data? </li></ul>

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