1. I NTERACTION : C OLLABORATION Presented by Chris Luce 1

2. T ALK B EFORE Y OU T YPE : C OORDINATION IN W IKIPEDIA What is the structure? How big is it and how much has it grown? How many people contribute? Have contributions changed over the years? 2

3. W IKIPEDIA Evolution Administrative and Coordinating elements Growing at a faster pace Becoming less anarchic More driven by policies and guidelines “Talk” pages 3

4. C OMPARING 2003 TO 2005 History Flow (“Abortion”) 4

5. C OMPARING 2003 TO 2005 History Flow (“Chocolate”) 5

6. V ANDALISM Fast repair in 2003 First page protected in 2004 0.09% pages marked as protected in 2005 Light restriction on creation in 2006 Still fast repair in 2006 6

7. V ANDALISM R EPAIR C OMPARISON 7 2003 2005

8. N AMESPACES More than just encyclopedia articles Divided into 20 sections 8

9. N AMESPACES (G ROWTH ) 9

10. T ALK P AGES (“G EORGE W. B USH ”) 10

11. T ALK P AGES (S TATISTICS /C ONTENT ) 11

12. C LASSIFICATION OF P OSTS Requests/suggestions for editing coordination Requests for information References to vandalism References to guidelines and policies References to internal resources Off-topic remarks Polls Requests for peer review Information boxes Images Other 12

13. R ESULTS Requests for coordination Most common kind of posting Over half of the contributions Requests for information 1 in 10 posts Gain expert knowledge of specific topics Requests answered/supportive community References to guidelines 7.9% activity Policies and guidelines actively used References to internal resources 5.4% Importance to refer to existing content 13

14. C ASUAL I NFORMATION V ISUALIZATION : D EPICTION OF D ATA IN E VERYDAY L IFE “Infovis is the use of computers to interactively amplify cognition, using visual representations” (S. K. Card) 14

15. I NFOVIS AT THE E DGES Ambient Infovis Social Infovis Artistic Infovis Other Infovis Cases 15

16. A MBIENT I NFOVIS 16

17. S OCIAL I NFOVIS 17

18. A RTISTIC I NFOVIS 18

19. O THER I NFOVIS E DGE C ASES 19

20. C ASUAL I NFOVIS User population Usage pattern Data type Insight 20

21. U SER P OPULATION AND U SAGE P ATTERN Doesn’t require users to be analysts Modify small amount of attributes Brief exploration 21

22. D ATA Personal domain 22

23. I NSIGHT Analytic Awareness Social Reflective 23

24. C HALLENGES Design Broader set of design goals Does not focus on episodes of work Evaluation Less productivity focussed Multiple varieties of insights Casual usage patterns 24

25. R EFERENCES Talk Before You Type: Coordination in WikipediaTalk Before You Type: Coordination in Wikipedia Fernanda B. Viégas, Martin Wattenberg, Jesse Kriss, Frank van Ham. HICSS-40, 2007. Zachary Pousman, John T. Stasko and Michael Mateas, "Casual Information Visualization: Depictions of Data in Everyday Life", IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 6, November/December 2007, pp. 1145-1152. 25