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Transformations of Knowledge in Online Communities

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Graduate School of Library and Information Science. University of ... Oops! Oh No! Pow! Repository. Bug-report. Bug-report. Bug-report. Bug-report. Bug-report ... – PowerPoint PPT presentation

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Title: Transformations of Knowledge in Online Communities


1
Transformations of Knowledgein Online Communities
Les Gasser
Bryan Penne
Graduate School of Library and Information
ScienceUniversity of Illinois at Urbana-Champaign
Supported by NSF/ITR (DST) Program
Joint work with Dave Dubin, Gabriel Ripoche, Bob
Sandusky, Xuehua Shen.
2
Setting
  • Large-scale collaborative design and information
    management in OSS communities.
  • Examples
  • Mozilla Web Browser
  • OpenOffice.org/StarOffice Office Suite
  • Chandra X-Ray Observatory Science Software
  • MMPORG game mods
  • Linux Kernel

3
Mozilla Model
Mozilla Browser
Formalized Feedback
Mozilla Repository (Bugzilla1)
Release
Developers
Tools
Repository
4
Dependent
Duplicate
Time (days to years)
5
Two Example Bug Reports
Rich text copy is 5 times slower than IE
Mozilla1.0 party!
6
Bug!
Feature!
TriageurDeveloper
7
Three Transformations
Community knowledge of artifacts From
given/learned to continuous/constructe
d Knowledge representation From
bounded, faithful reflections to
massive, contentious assemblages Knowledge
Management From episodic, case-based
to convergent, sense-making
8
Transforming Knowledge of Artifacts
  • From
  • Specifydesignbuildtestreleasemaintain
  • To
  • Using initial seed, community continuously,
    jointly transforms its knowledge of what the
    target artifact is, how it works, what it should
    be, and how it should work
  • Process is characterized by extreme
    multiplicity of a) viewpoints, b)
    representation, c) experience.
  • Process is catalyzed by structured collective
    KM tools (e.g. Bugzilla)

9
Transforming Representation
  • From "Documents represent things, events,
    experience"
  • Documents Life-world
  • To
  • Documents record viewpoints (under
    interpretation)
  • Scope of documentation is unknowable (e.g.,
    duplicates, index terms)
  • Fidelity of relationship is uncertain (e.g.,
    report vs. problem)
  • Relevant life-world is unknowable (e.g.,
    use-contexts/styles)

10
Transforming Knowledge Management
  • From Episodic/case-based
  • Utility Stored, Archival Capture past for
    future use
  • AccessGoal Matchable/reenactable
  • Selection Bias Selective, expertise-based,
    formal
  • To Sensemaking
  • Utility Convergent, present-oriented,
    resolution-focused Little
    perceived future utility
  • Access Goal Locatable, cross-referenceable,
    interpretable
  • Selection Bias Open, narrative, rhetorical
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