Silicon Valley doing "ontogeny recapitulates phylogeny" in social sciences. From behaviorism to positivism. Awaiting discovery of Foucault.
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Replying to @zeynep
Causal inference in human social systems is hard. Your "data" is limited and biased. Need depth of understanding. Being smart isn't enough.
4 replies 34 retweets 82 likes -
Replying to @zeynep
If you want to deal with bias in digital platforms, you gotta bring in people who think a lot about stratification, inequality, culture...
1 reply 50 retweets 85 likes -
Replying to @zeynep
Engineers, you know how you are befuddled by very smart people who can't figure out email? Sometimes, that's you, with human social systems.
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Replying to @zeynep
(Yes, Smart people can be confused by computers. I know one of world's top physicists: can barely email. Domain expertise. Really).
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Replying to @zeynep
The culture clash is real; methodological gap between engineers & trad social scientists is real but silos won't let you solve the problems.
4 replies 12 retweets 36 likes -
Replying to @zeynep
There is a lot of social science expertise in "unintended" consequences of "easy-seeming" fixes from available data. A lot of it is subtle.
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Replying to @zeynep
You can't just hire a few social scientists to Silicon Valley (often mostly economists anyway). Would need real teams; different thinking.
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Replying to @zeynep
Also, AirBnB's race problem was apparent from day one among social scientists BECAUSE IT WAS TERRIBLY EASY TO PREDICT. Why did they not see?
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Replying to @zeynep
why presume they didn't see? It's very likely that public outcry motivated changes, not a sudden revelation of an unforeseen problem
1 reply 1 retweet 1 like
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Replying to @zeynep
or just putting off a difficult problem as long as possible. Ex: ending gender discrimination may make women less likely to host
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