There is so much wrong in this article and @zeynep’s ideas of algorithms and ML it hurts http://www.nytimes.com/2016/05/19/opinion/the-real-bias-built-in-at-facebook.html …pic.twitter.com/VBWaRoLMA3
Complex systems, wicked problems. Society, technology, science and more. @UNC professor. @NYTimes columnist. My newsletter is @insight: http://www.theinsight.org
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There is so much wrong in this article and @zeynep’s ideas of algorithms and ML it hurts http://www.nytimes.com/2016/05/19/opinion/the-real-bias-built-in-at-facebook.html …pic.twitter.com/VBWaRoLMA3
.@zeynep also has insider info on Facebook’s optimization criteria: short-term engagement & clicks? Very unlikely.pic.twitter.com/3mECUkIo8m
zeynep tufekci Retweeted Andréa López
.@dvdgrs Why, yes, and thanks for asking. It's not "insider" info though. Written about and even acknowledged.https://twitter.com/bluechoochoo/status/688398054588743680 …
zeynep tufekci added,
David Graus Retweeted zeynep tufekci
.@zeynep clicks, likes, etc. are used as signals (=features in model) to infer longer term engagement.https://twitter.com/zeynep/status/735141644530515969 …
David Graus added,
it would be pointless to optimize for virality and junk in the newsfeed; users would abandon.
They couldn't *make* users abandon after repeatedly deliberately crashing the app. Check the research. It's where your friends are.
I don’t see how that’s related. But I do worry about these misconceptions of “algorithms” and what they do (they’re not algorithms).
It's related to explaining network effects. People are stuck because of network effects, not quality of the feed or app or etc.
zeynep tufekci Retweeted zeynep tufekci
As for "algorithm". I'm not happy that's the word that emerged with extra meaning but alas. Language evolveshttps://twitter.com/zeynep/status/733656743486574592 …
zeynep tufekci added,
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