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Well last night I got word our panel discussion did not get approved. We (GM, KS and I) had all submitted for a panel at the NCA conference. The topic was about facebook and african americans. We would be doing some primary research across 3 areas with 3 separate study groups. i haven’t seen the email, so I don’t understand the rationale for the rejection. Also, since it was primary research with human subjects I had to get approval from IRB, which is pending. What a dilemma! I guess I let the research stay in the approval queue and then write a paper. Which is fine. I assume lots of Comm journals would be interested in such findings as Facebook technology adoption by AA.
But the blow is a bit disappointing. Perhaps it’s preparing me for a rejection at UIC as well. Beth did not get accepted to their English dept. She already got her rejection letter. I haven’t seen anything from them, yet. And then what do I do if I get accepted. I will have a challenge on my hands of decisions.
Well the next conference proposal is due end of March. I will see if I can submit to that one. But it is a visual conference. I am not sure how even to fit into that one. But its in Chi, so easy to attend. I guess its time to brush up on visual theories and semiotics.
Actually, I had done a study not so long ago about the semiotics of yahoo messenger avatars. I could revisit that in facebook. Taking a look at just how many of a certain network, displays photos of themselves, or other things. To some degree I already have the IRB proposal in place. I could add a blurb to widen the base of examination. Right now I am only looking at some facebook users in specific groups. I could broaden that to be a study in comparison to other groups. Or just across networks. Yesterday we were wrapping up the presentation for NSBE convention next Saturday and I made this chart:
Perhaps, this bears some investigation. Be interesting to report on the reality of these suggestions. At least to the broad network.
The proposal might read something like:
Privacy a well known issue in social networking and web2.0 media systems. What is not known is just how many in a given network share broadly their images. One might expect that some constraints might exist in larger networks, but the data is not available to articulate. This study proposes 2 things, to ascertain just how many facebook members of a network display “representative” or other photos of themselves. Subsequently, how many tagged photos are available for the person, even when they have declined to show a representative photo. We’d have to say choose only the IIT network, and maybe broaden it later.
