This is part of the 2014 AO3 ship stats. For a guide to what each column means, click here.
This list shows the 100 most popular relationship tags on AO3. There are 3 F/F pairings, 23 F/M, 3 Gen and 71 M/M.
Of the 200 names, 29 belong to women - down from 32 this time last year. 11 of the 200 names are POC, while 14 are characters of ambiguous race.
ETA: Fixed categorisation of Blaine Anderson and Pete Wentz.
ETA 2: Race column expanded to include the category ‘ambiguous’.
Scott Mccall being singularly responsible for a third of the POC ships.
W O W
but the fact that we reach fucking incest before a single woman or POC… male whiteness is a hell of a drug.
This right here is why I am so not here for white fandom
i love how much you are saying with how little statistical work that’s been done. I’m not saying there isn’t a problem with whiteness male, but I have a lot of ways to look at it.
First thing I’d want to know is average length of the work per pairing. Second, I’d control by author. Typically, authors will work within the same fandom and pairing (though not always), so we have to nest the works within authors, then fandoms, then pairings. Already, we have a complicated model, just to look at is there number of works are significantly related to the race of the characters. I’d then examine work length, rating, and maybe even genre.
Now, with that out of the way, lets look at some other factors contributing to this phenomenon. What gender is the author? If most of the writers are female, then what does that say about the results?
What is the race or ethnicity of the author? This also can influence the results.
How old is the author? Their sexuality? Their social position, job, relationships? All of these things are important sociological factors that can influence whatever findings you have.
Now, we’re not going to get a lot of that information, which is fine (though I’m sure most authors would not have a problem with admitting their gender if asked). You still can work within the confines of the data to find something meaningful rather than simply using descriptives.
So, moral of the story: Statistics are cool. There may be an issue here, but without any more data analysis, we shouldn’t overreact.
"i love how much you are saying with how little statistical work that’s been done."
Thanks for this! I put a lot of thought into how best to present this data to make my point clear without too much lecturing (although even then, it took a couple of edits to get it right).
As for the rest - while it may not give you everything you were looking for, both last year’s survey (which went into more depth on other factors of the fics involved) and the AO3 census (which surveyed the demographics of 10,000 AO3 users) would probably interest you. Also, toastystats is another great blog for fandom statistics of all kinds.