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Networked Information KCB201 Virtual Cultures Dr Axel Bruns [email_address]
Housekeeping Blackboard site: make sure you access the podcasts del.icio.us feed now on separate page (use Firefox, anyway!) Tutorials start today! work through readings and podcasts before class, please classes are almost full – please attend the one you’re enrolled in Focus groups next week: share your new media experiences with University of Canberra researchers 10-20 students, 10-11 a.m. (after the week 3 lecture) this helps us improve this unit (and others)
Expert Logic Traditional knowledge structures: clearly defined categories stable knowledge structures tree structure – from major fields to specific topics classification performed by experts useful for making sense of finite, stable knowledge spaces designed for browsing    taxonomies – common offline, but also attempted online
‘Google Logic’ Usage-driven knowledge structures: loosely defined, overlapping themes shifting, disputed knowledge structures network structure – interconnected topics classification performed by all of us, continuously useful for making sense of infinite, changing knowledge spaces designed for searching    folksonomies – especially online
Examples Expert logic: Yahoo! Directory Microsoft Encarta stable, fixed – slow, inert? maintains tree structure for knowledge ‘ Google logic’: Google   (obviously) Wikipedia del.icio.us constantly in progress  – unreliable,  out of control ? generates  network structure  for knowledge
Questions Expert-driven vs. user-driven: Which is ‘better’ – and for what purposes? What effects do they have on our knowledge systems? Which do we prefer to use? Which will work in an information-rich online environment? How do we use them effectively?

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KCB201 Week 2 Lecture

  • 1. Networked Information KCB201 Virtual Cultures Dr Axel Bruns [email_address]
  • 2. Housekeeping Blackboard site: make sure you access the podcasts del.icio.us feed now on separate page (use Firefox, anyway!) Tutorials start today! work through readings and podcasts before class, please classes are almost full – please attend the one you’re enrolled in Focus groups next week: share your new media experiences with University of Canberra researchers 10-20 students, 10-11 a.m. (after the week 3 lecture) this helps us improve this unit (and others)
  • 3. Expert Logic Traditional knowledge structures: clearly defined categories stable knowledge structures tree structure – from major fields to specific topics classification performed by experts useful for making sense of finite, stable knowledge spaces designed for browsing  taxonomies – common offline, but also attempted online
  • 4. ‘Google Logic’ Usage-driven knowledge structures: loosely defined, overlapping themes shifting, disputed knowledge structures network structure – interconnected topics classification performed by all of us, continuously useful for making sense of infinite, changing knowledge spaces designed for searching  folksonomies – especially online
  • 5. Examples Expert logic: Yahoo! Directory Microsoft Encarta stable, fixed – slow, inert? maintains tree structure for knowledge ‘ Google logic’: Google (obviously) Wikipedia del.icio.us constantly in progress – unreliable, out of control ? generates network structure for knowledge
  • 6. Questions Expert-driven vs. user-driven: Which is ‘better’ – and for what purposes? What effects do they have on our knowledge systems? Which do we prefer to use? Which will work in an information-rich online environment? How do we use them effectively?