Hi Laura,

I very much like the topic and question of your research. Bravo.

The result that pops out at me I is 23.5% of gendered-content by super-users is Woman-related. The sample size of 0.4% of editors is small, too small to draw conclusions about the super users themselves, but the sample of articles, I think starts to approach being representative. Well at least it is in line with what I found, which was that looking at Biography articles only, 18% of English Wikipedia is about Women [1].

One way to scale up this kind of sentiment analysis would be Mechanical Turk[2] , to "automate" categorizing pages into gender. That would take some money, but maybe there's a research grant for it. With a statiscally significant sample, it seems like a result that would be popular in the media. One could also compare the the likelihood to write gendered articles of the super-users versus others.

The conclusion is quite punchy - finding people to write about women is not as important as convincing people who currently write, to write about women.

I would be very intrigued to collaborate and help on this research. Do you have ideas about what you want "future directions" to look like?

[1] http://hangingtogether.org/?p=2877

[2] https://www.mturk.com/mturk/welcome