It seems odd to have used avatars as the sole metric. I know many male individuals that use female avatars and the vast majority of both males and females I know do not use any representative avatar.
Is there a particular reason you chose to use the avatar instead of gender weighting based off of the posts and questions, which tend to provide more accurate results? While we noted when we tried this that most technical discussion on stack overflow leaned towards masculine even when written by a female, it should still be far more accurate than the avatars.
Not sure why this is an issue. Why aren't we decrying male nurse shortages with only 8% of nurses being male? I've never once seen an article here or on reddit about the lack of male nurses. Or a male nursing shortage. Or an uneven gender ratio in Nursing.
Why is it always the tech part of STEM that gets this treatment? I'm genuinely curious as to why this issue isn't seen with men and nursing. Why is it that tech is always used as a narrative, when it is even more pronounced in nursing on the male end.
I'm not saying that because Y is a problem, that X isn't a problem. It's just that, I consistently and constantly hear about problem X, but never hear about problem Y which is almost identical. Almost never. It's just waved away. And that says something...
If we wave away men in nursing, you better believe we'll continue to wave away women in tech. And as a man, that's sad because women should be empowered in tech much more than what's currently being offered. It's very unwelcoming for them.
How does one have the gall to make this kind of claim with such a flawed methodology?
> Out of the top 3,479 profiles, the visual recognition API classified 1,515 profile images with a discernible gender.
3,479 seems to be an arbitrary number and no explanation is given as to why that was number was chosen. But, more importantly, more than half of these top users, who could be of either gender, were eliminated from the results, which already makes this study inconclusive.
The second major flaw is that the author determined a user's gender by their profile image, using a "masculine" or "feminine" classification. If already less than half of user profile images had a discernible gender, who's to say that, of those images that did have a discernible gender, the profile image accurately represents the user's gender? What if I decided to set a celebrity's image as my profile image? If my profile had Melissa Joan Hart as the image, does that make me female? If my profile image was of Bryan Cranston, does that make me male?
Also, how is "feminine" and "masculine" determined by this API? Does having long hair qualify as a feminine trait? John Romero has long, flowing hair and painted fingernails; does that make him female? Conversely, if a female has short hair does that means she's categorized as part of the "masculine" group?
The title to the article is absolutely misleading and wildly inaccurate. Even after the author admits:
> Determining gender on Stack Overflow turned out to be trickier than we initially anticipated.
She still has the nerve to make the claim that there is only one woman in the top 100 SO accounts in the title and throughout the article.
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[ 4.0 ms ] story [ 24.9 ms ] threadIs there a particular reason you chose to use the avatar instead of gender weighting based off of the posts and questions, which tend to provide more accurate results? While we noted when we tried this that most technical discussion on stack overflow leaned towards masculine even when written by a female, it should still be far more accurate than the avatars.
Why is it always the tech part of STEM that gets this treatment? I'm genuinely curious as to why this issue isn't seen with men and nursing. Why is it that tech is always used as a narrative, when it is even more pronounced in nursing on the male end.
I'm not saying that because Y is a problem, that X isn't a problem. It's just that, I consistently and constantly hear about problem X, but never hear about problem Y which is almost identical. Almost never. It's just waved away. And that says something...
If we wave away men in nursing, you better believe we'll continue to wave away women in tech. And as a man, that's sad because women should be empowered in tech much more than what's currently being offered. It's very unwelcoming for them.
> In total, the visual recognition API classified 1,428 profiles as masculine, 84 as feminine and 1,964 as unclassified.
> The top 100 Stack Overflow users consist of 77 masculine profiles, 21 unclassified and 1 feminine profile.
They only identified a single account belonging to a female, but there 21 unclassified accounts in the top 100 that could also belong to females.
I would certainly expect women to be more reluctant than men to note their gender on their online profiles.
> Out of the top 3,479 profiles, the visual recognition API classified 1,515 profile images with a discernible gender.
3,479 seems to be an arbitrary number and no explanation is given as to why that was number was chosen. But, more importantly, more than half of these top users, who could be of either gender, were eliminated from the results, which already makes this study inconclusive.
The second major flaw is that the author determined a user's gender by their profile image, using a "masculine" or "feminine" classification. If already less than half of user profile images had a discernible gender, who's to say that, of those images that did have a discernible gender, the profile image accurately represents the user's gender? What if I decided to set a celebrity's image as my profile image? If my profile had Melissa Joan Hart as the image, does that make me female? If my profile image was of Bryan Cranston, does that make me male?
Also, how is "feminine" and "masculine" determined by this API? Does having long hair qualify as a feminine trait? John Romero has long, flowing hair and painted fingernails; does that make him female? Conversely, if a female has short hair does that means she's categorized as part of the "masculine" group?
The title to the article is absolutely misleading and wildly inaccurate. Even after the author admits:
> Determining gender on Stack Overflow turned out to be trickier than we initially anticipated.
She still has the nerve to make the claim that there is only one woman in the top 100 SO accounts in the title and throughout the article.