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Would be also interesting to see other people’s up and downvotes but only after you voted. That way you’d still vote unbiased while at the same time getting to know how (un)popular of an opinion you have.
Would be also interesting to see other people’s up and downvotes but only after you voted. That way you’d still vote unbiased while at the same time getting to know how (un)popular of an opinion you have.
As a ‘last resort’ if you don’t find any technical tasks in the projects you’d like to contribute to, there’s also plenty of other ways to help:
Or simply ask the maintainers how you might contribute in a meaningful way. I’m sure they’ll appreciate your offer!
The study differentiates between male and female only and purely based on physical features such as eye brows, mustache etc.
I agree you can’t see one’s gender but I would say for the study this can be ignored. If you want to measure a bias (‘women code better/worse than men’), it only matters what people believe to see. So if a person looks rather male than female for a majority of GitHub users, it can be counted as male in the statistics. Even if they have the opposite sex, are non-binary or indentify as something else, it shouldn’t impact one’s bias.
Thanks for pointing that out.
Seems like a wild idea as… a) it poisons the data not only for AI but also real users like me (I swear I’m not a bot :D). b) if this approach is used more widely, AIs will learn very fast to identify and ignore such non-sense links and probably much faster than real humans.
It sounds like a similar concept as captchas which annoy real people, yet fail to block out bots.
Thank you. Unfortunately, your link doesn’t work either - it just leads to the creative commons information). Maybe it’s an issue with Firefox Mobile and Adblockers. I’ll check it out later on a PC.
Anyone found the specific numbers of acceptance rate with in comparison to no knowledge of the gender?
On researchgate I only found the abstract and a chart that doesn’t indicate exactly which numbers are shown.
edit:
Interesting for me is that not only women but also men had significantly lower accepance rates once their gender was disclosed. So either we as humans have a really strange bias here or non binary coders are the only ones trusted.
edit²:
I’m not sure if I like the method of disclosing people’s gender here. Gendered profiles had their full name as their user name and/or a photography as their profile picture that indicates a gender.
So it’s not only a gendered VS. non-gendered but also a anonymous VS. indentified individual comparison.
And apparantly we trust people more if we know more about their skills (insiders rank way higher than outsiders) and less about the person behind (pseudonym VS. name/photography).
Are there any better known sources? Charter97 doesn’t appear too trustworthy to me or am I wrong?
Not sure if it’s just me but personally Boss in general feels like an anti status symbol. Whenever I see someone wearing clothes with an obvious Boss logo on it I cringe a bit and think of them having a very low self esteem and poor spending habits…
Agreed! Comments on comments were the last reason I sometimes went back to the original YouTube app!
Does anyone know if there is a way to do one-time donations to Newpipe without signing up for Libera Pay? E.g. did the team publish their IBAN or PayPal account?
True but I’d hope that there’s still some review for the bigger projects. Of course, it’s possible that a malicious link is inserted right before I go there but it’s still more reliable than just chosing the first result on Google.
Boost (Android) does that as well.
I often take the link from the project’s Wikipedia page if it’s big enough to have one.
I guess our society will rather build airconditioned green houses for wine than implement meaningful measures to protect the planet.
In case you get it tattoed, also put the entire conversation next to it. Would be funny at least for a few years. Then, probably no one will remember what a ChatGPT is.