I NTERACTION : C OLLABORATION Presented by Chris Luce 1

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

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

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

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

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

V ANDALISM R EPAIR C OMPARISON

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

N AMESPACES (G ROWTH ) 9

T ALK P AGES (“G EORGE W. B USH ”) 10

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

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

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

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

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

A MBIENT I NFOVIS 16

S OCIAL I NFOVIS 17

A RTISTIC I NFOVIS 18

O THER I NFOVIS E DGE C ASES 19

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

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

D ATA Personal domain 22

I NSIGHT Analytic Awareness Social Reflective 23

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

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, 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