[Air-l] Analyzing user generated multimedia content

[elw at stderr.org]

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 at philips.com>
> Reply-To: air-l at listserv.aoir.org
> To: air-l at 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 at philips.com,  http://www.design.philips.com
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