October 20-26
By the end of the week, you should:
1. Be aware of the technologies used for collecting data from users
2. Understand how user generated content systems work
3. Identify ways that user-generated content and collaborative filtering can be capitalized on by libraries.
Quicktime Movie (29 minutes)
Required
Tapscott, D and Williams, A. (2007). "Innovation in the Age of Mass Collaboration." Business Week.
Jenkins, H. (2006). "Collective Intelligence vs. The Wisdom of Crowds." Confessions of an Aca-Fan.
Rukavina, P. (2008). "Digg + Local Library Purchases." ruk.
Powazek, P. (2009). "The Wisdom of Crowds." A List Apart.
Grifantini, K. (2009). "Can you Trust Crowd Wisdom?" Technology Review.
Tay, A. (2009). "Libraries and Crowdsourcing - 6 Examples." Musings about Librarianship.
Chi, E., et. al. (2007). "Long Tail of User Participation in Wikipedia." Augmented Social Cognition.
Chun, S., et al. (2006). “Steve.museum: An Ongoing Experiment in Social Tagging, Folksonomy, and Museums.” Museums and the Web 2006. Albuquerque, March 22-25, 2006.
Ou, C. “folksonomy? ethnoclassification? libraries? wha?” Rawbrick.net.
Evans, B. (2009). "Three Flavors of Social Search: What to Expect." Read/Write Web.
Blachly, A. (2009). "Flash-Mob cataloging." Thingology Blog.
Spalding, T. (2007). "When Tags Work and When they Don't: Amazon and LibraryThing." Thingology blog.
Furner, J. (2007). "User Tagging of Library Resources: Toward a Framework for System Evaluation." World Library and Information Congress.
Optional
Spalding, T. (2009). "What is Social Cataloging?" (video). Thingology Blog.
Webster, J, et. al. (2004). "Collaborative Filtering: Possibilities for Libraries." International Association of Aquatic and Marine Science Libraries and Information Centers.
Pomerantz, J., & Stutzman, F. (2006). "Collaborative Reference Work in the Blogosphere." Reference Services Review.
Human-powered search
Aardvark
Mahalo
Digg
Sproose
Technorati
Swicki
Institutional Social Bookmarking/Tagging
MTagger
PennTags
Creative Spaces
Steve.museum
Recommendations
LibraryThing
Rating Sites
TripAdvisor
Rate My Professor
Tools for Crowdsourcing Ideas
IdeaScale
Collaborize
Check out some of the examples from this Crowdsourcing site
Libraries Using Tags in the Catalog
Danbury Public Library (see how they have used LibraryThing in their catalog)
Bedford Public Library (see how they have used LibraryThing in their catalog)
Ann Arbor District Library
Libraries Using LibraryThing for Libraries
Libraries that Use Collaborative Filtering
University of Huddersfield Library Catalogue (do a search for any of the Harry Potter books and see the recommendations at the bottom of the page).
Getting Help from the Hive
Ask MetaFilter
Yedda
Aardvark (recently bought by Google)
Yahoo! Answers
Wiki Answers
1. Take a look at the examples listed above.
3. Write at least one blog post on one (or more) of the following topics (due October 24):
1. What are the pros and cons of tagging in library catalogs? (Tags = blogpostwk9, blogpostwk9n1)
2. Where do you see user-generated content providing value for libraries and how could it be collected? (Tags = blogpostwk9, blogpostwk9n2)
3. Why do you think some systems that depend on user-generated content have failed? (Tags = blogpostwk9, blogpostwk9n3)
4. What do you think of the move away from the wisdom of the expert and towards the wisdom of crowds? (Tags = blogpostwk9, blogpostwk9n4)
5. Why do you think so few libraries are allowing patrons to add to library wikis? (Tag = blogpostwk10n5)
6. Do you see tools like Ask Metafilter and Yahoo! Answers as a threat to our role? Why or why not? (Tags = blogpostwk9, blogpostwk9n6)
7. Why do you think libraries have not implemented collaborative filtering in library systems? (Tags = blogpostwk9, blogpostwk9n7)
8. Write your own reflection on what you've learned this week (Tags = blogpostwk9, blogpostwk9n8)
4. Bookmark one additional resource, blog post or article on this week's topic(s) in del.icio.us, briefly describe it in the notes field, and tag it libr246-04/13 and week9 (due October 24).
5. Comment on at least two other people's blog posts (due October 26).
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