Social Annotation in Social Network Sites Fred Stutzman SILS, UNC-Chapel Hill fred@metalab.unc.edu.

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Transcript of Social Annotation in Social Network Sites Fred Stutzman SILS, UNC-Chapel Hill fred@metalab.unc.edu.

Social Annotation in Social Network

SitesFred Stutzman

SILS, UNC-Chapel Hillfred@metalab.unc.edu

Tagging in SNS?

Tagging One’s Self

•What are rates of maintenance and upkeep of these self tags?

•How are individuals using self tags in social network sites?

•What types of tags exist in social network sites?

Tag Maintenance

•Longitudinal analysis (n=3505, t=16 weeks)

•UNC-Chapel Hill Freshman, 2005

•How are self tags maintained over time?

•What are the most popular self tags?

•What is the self tag rate of change?

Findings

Findings

Element Share Rate Change Rate

Gender 98% .21%Home State 93% 1.8%

Major 85% 12%Rel. Stat. 90% 26%

Looking For 63% 28%Friends 100% 93%

Findings

Elements Share, 1 Share, 16 Delta

Books 4.7 4.9 43.1%

Movies 8.9 9.7 52%

Interests 7.8 8.5 54.8%

Music 13.4 14.5 55.8%

Self-tags in SNS

•Pilot content analysis (n=50), undergraduate profiles at UNC-Chapel Hill

•Boundary of a tag: hyperlinked referent from a profile to a “pool”

•Concentration: Fluid elements

•Specific concentration: Interests, Favorites

Preliminary Analysis

•Tag types

•Object - Wedding Crashers, Blink 182

•Genre - Chick Flicks, Hip-Hop, Layin’ in the sun

•Concept - Random things, All things Pumpkin

•Action - Playing (x), Chillin’

Preliminary Analysis

•Self tags as

• Individual descriptors (my favorite book, genres of films)

•Group memberships

•Society-level (religion, political belief)

•Present-network level (campus groups, inside jokes)

Next steps

•Other self-tags in profiles?

•Photo tags

•Group memberships

•Application participation

Thank you

•Email: fred@metalab.unc.edu

•Website: http://ibiblio.org/fred

•Blog: http://chimprawk.blogspot.com