.@zeynep calls on YouTube to recalibrate algorithms to tee up videos"debunking" videos someone somewhere deems falsehttp://www.npr.org/2017/03/04/518461970/how-youtube-is-changing-our-viewing-habits …
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Pretty big claim that it is crowdsourced. Even YouTube people don't say that. Inside info? Would love to know.
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Replying to @zeynep @adamjohnsonNYC
Has everyone read this paper? Deep Neural Networks for YouTube Recommendations https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf …
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I also just now heard about this one: The Youtube Video Recommendation System http://dl.acm.org/citation.cfm?doid=1864708.1864770 …
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Replying to @alsodanlowe @adamjohnsonNYC
I had not seen that one! Feel free to email me any you find; much appreciated.
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Replying to @zeynep @alsodanlowe
zeynep at http://technosociology.org . Recommender algos have emerged as crucial editorial inflection points & shifting towards ML
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Replying to @zeynep
Will do. This seems like exponential cycle. Banks/corps capitalize on ML, use advantage to invest in ML/AI in other industries.
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Replying to @alsodanlowe
Really is--seeing more & more, in many industries, with the powerful shifting to Adam's position. "It's our decision; shut up."
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Replying to @zeynep @alsodanlowe
Banking, I suppose, on this false notion that it is some objective set of criteria rather than a whole range of choices?
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Replying to @zeynep
I was just thinking of the literal advantage of something like high-frequency trading creating a new capital threshold.
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Yes! It's already kind of here; this is going to be a new structural source of big inequality.
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