No, Wikipedia and the internet do not have a gender problem

First, the internet was supposed to be without the identity shit in it. Second, no, Wikipedia does not have a gender problem.

The reason this is news is because you would probably never know about their contributions by frequenting Wikipedia, but he knows a way to fix that.

Wikipedia appears have a gender problem, for one. It is a matter of under-representation. And now the machine learning system at an AI startup has been showing how it could address the situation.
Primer is in the news. The Primer system was trained on scholarly journals. The gender gap-filling tool is called Quicksilver. It can spot many an overlooked female scientist with no presence at Wikipedia.

Tom Simonite said in Wired: “Only 18 percent of its biographies are of women. Surveys estimate that between 84 and 90 percent of Wikipedia editors are male.”

Yes, machine learning! SCIENCE! It blinks it’s leds! Is IT THINKING?
The main difference between male and female pensioners is that while men mostly shit their pants in the chair, women actually do useful work for the future, such as raising their nephews or planting plants in the garden. Of those chair-gasers, there might be like 1 in 1000 that happens to be a retired high-school teacher, with something to write over there that hasn’t been written yet, and that’s how new articles end up on Wikipedia. I mean the genuine ones, not marketing ads some idiots try to write and some actually get to remain (like sportsman articles or news commentators or models, as if those have done something notable).

Finally, the reason you don’t hear about female scientists is that 1) most of the things that could have been discovered are already discovered, 2) research grants are spent on shit projects like experimentation on rats or “global warming”.