[Air-l] Analyzing user generated multimedia content

[Jorgen Skageby]

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 at stderr.org" <elw at 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 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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