Hi all, I have to agree that the inclusion of user generated multimedia content in CMC is presenting some interesting problems and challenges. My research has looked at end-user concerns and intentions regarding their contribution of multimedia content in online venues. I used qualitative online methods to try to understand 'what is given to whom, how and why?'. While, this research does not try to classify visual elements or types of pictures as such (one of my cases was Flickr), I agree that the contextual approach seems necessary to understand desires, concerns and intentions with multimedia content contributions. Best /Jorgen Skageby PhD Candidate http://www.ida.liu.se/~jorsk/ On 06-11-15 18.28, "elw@stderr.org" <elw@stderr.org> wrote:
You might take a look at the paper "Common Visual Design Elements of Weblogs", which Lois Scheidt and I wrote for the "Into the Blogosphere" collection a few years ago.
Start with http://blog.lib.umn.edu/blogosphere/
Our understanding of how best to carry out that kind of (visual) content-analytic research has advanced since we wrote the paper, but the
paper (and the collection as a whole...) is a good starting point.
There is certainly a *lot* of work to be done w.r.t. multimedia content online.
Best,
--elijah
On Wed, 15 Nov 2006, Nicole Reinhold wrote:
Date: Wed, 15 Nov 2006 18:14:12 +0100 From: Nicole Reinhold <nicole.reinhold@philips.com> Reply-To: air-l@listserv.aoir.org To: air-l@listserv.aoir.org Subject: [Air-l] Analyzing user generated multimedia content
Dear AoIRers
Since blog users and online community members are increasingly posting multimedia content and not only text, discourse analysis seems no longer sufficient to analyze this content. Therefore, I am looking for ways to classify and analyze images as such. One important aspect is certainly given by the context where the images are posted, but how can images be handled?
I looked at ethnographic and semiotic approaches to get some background, but so far I could not find a suitable way to classify or analyze this type of content. Does anybody have experience in this area, or can anybody suggest a suitable approach for this problem?
best wishes Nicole
MA. Nicole Reinhold, Senior Research Consultant Philips Design nicole.reinhold@philips.com, http://www.design.philips.com _______________________________________________ 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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