[Air-L] Classifying YouTube Videos

[Muhammad Abdul-Mageed]

Hi,

You might like to look into the tags used. You may conduct some content analysis of the tags and see how users like to tag the videos. The previous studies on tagging maintained the distinction between tags by individuals and those by organizations (say a school that uploads videos related to its activities) and I guess this may be a distinction that we like to maintain and build upon. Also, the time during which a video was tagged is crucial since YouTube is being improved as the system suggests tags, etc. So, a blind system is different from one that has suggestions. I guess the categories that are used for the videos by the system right now can serve as a background for your work.

I hope that helps!

Best,

--
Muhammad Abdul-Mageed,
Ph.D. Student
Dept. of Linguistics,
Indiana University, Bloomington,
USA
www.mumageed.blogspot.com



--- On Mon, 9/29/08, Dominic Yeo <skyrock at gmail.com> wrote:

> From: Dominic Yeo <skyrock at gmail.com>
> Subject: [Air-L] Classifying YouTube Videos
> To: air-l at listserv.aoir.org
> Date: Monday, September 29, 2008, 12:50 AM
> 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
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