You might want to try tracking down Julie Jones. She was a grad student at Univ. of Minnesota and her dissertation was about YouTube. She did extensive work on building a classification system and coding it. She was a candidate for one of our jobs last year but turned it down, so I'm not sure where she ended up. The email I had for her was: jone0882@umn.edu . Good luck, Kathie __________________________________ Dr. Kathie Gossett Asst. Professor of Rhetoric and New Media Department of English Old Dominion University Phone: (757) 683-5818 Email: kgossett@odu.edu Web: www.kathiegossett.com On Sep 29, 2008, at 0:50 , Dominic Yeo wrote:
Hi everyone,
I'm doing a study of motivations of users in viewing YouTube videos and I'll be constructing a questionnaire that measures users' preferences of the different types of videos on YouTube (among other things). I'm wondering if anyone has any suggestion on how to classify the videos on YouTube (or better yet any published papers that adopt a classification system of YouTube videos). Obviously one straightforward way is to adopt the exact same classification that already exists on YouTube (Autos & Vehicles, Comedy, Education, Entertainment, Film & Animation, Gaming, Howto & Style, Music, News & Politics, People & Blogs, Pets & Animals, Science & Technology, Sports, Travel & Events) but I feel they do not provide sufficient differentiation especially in the area of user-generated videos.
Best regards, Dominic _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
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