@FioraAeterna @vogon @0xabad1dea yeah I've been wanting to look at how off their gender prediction algorithm is
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En réponse à @sarahjeong
@sarahjeong@FioraAeterna@0xabad1dea the big thing, I think, is that it's the percentage of people whose gender it can guess1 réponse 0 Retweet 0 j'aime -
En réponse à @vogon
@sarahjeong@FioraAeterna@0xabad1dea and I'm sure sexism drives non-men to make their gender less marked in a bunch of ways1 réponse 0 Retweet 1 j'aime -
En réponse à @vogon
@vogon@FioraAeterna@0xabad1dea right, but otoh I'm pretty sure their training data is based on people whose FB accounts are linked1 réponse 0 Retweet 0 j'aime -
En réponse à @sarahjeong
@vogon@FioraAeterna@0xabad1dea like what the fuck does that say about gender prediction skew1 réponse 0 Retweet 1 j'aime -
En réponse à @sarahjeong
@sarahjeong@vogon@0xabad1dea my guess is it's a really naive algorithm based on interests/etc which is actually really ironic2 réponses 0 Retweet 0 j'aime -
En réponse à @FioraAeterna
@FioraAeterna@sarahjeong@0xabad1dea my instinct is that it's gendered display names + vocabulary analysis2 réponses 0 Retweet 0 j'aime -
En réponse à @vogon
@vogon@FioraAeterna@0xabad1dea Yeah I mean it's got to be that also but they've got to be checking up against training data2 réponses 0 Retweet 0 j'aime -
En réponse à @sarahjeong
@sarahjeong@FioraAeterna@0xabad1dea I'd expect their training data is people with blue checkmarks1 réponse 0 Retweet 1 j'aime -
En réponse à @vogon
@vogon@FioraAeterna@0xabad1dea Question, when you guys add the general Twitter comparison audience, do you see the male/female ratio?2 réponses 0 Retweet 0 j'aime
@vogon @FioraAeterna @0xabad1dea I can't find it now
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