@davekarpf @kreissdaniel If you mean they can't magically convince people... Sure. But knowing who to scare can shape turnout, for ex.
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Replying to @zeynep
@davekarpf@kreissdaniel This is just starting. Information rich but asymmetric environment; much at stake; lots of money... Will continue.2 replies 0 retweets 0 likes -
Replying to @zeynep
@zeynep@kreissdaniel oh it'll definitely continue. But so will the overhyping. This company has made $2.5 MILLION off the Cruz campaign1 reply 0 retweets 1 like -
Replying to @davekarpf
@davekarpf@kreissdaniel So that's the current story and you are probably right. But I think Obama's shaping of turnout was key in 2008.3 replies 0 retweets 0 likes -
Replying to @zeynep
@davekarpf@kreissdaniel And as you guys have written :-D that is closely linked to use of data. It's the .. direction.1 reply 0 retweets 0 likes -
Replying to @zeynep
@davekarpf@kreissdaniel And current methods are crude but they are getting better fast. The tech side of inference is moving really fast.1 reply 0 retweets 0 likes -
Replying to @zeynep
@zeynep@davekarpf Yes, but I think Eitan shows that voter psyche won't change; predicting persuadability is essentially random.2 replies 0 retweets 0 likes -
Replying to @kreissdaniel
@kreissdaniel@zeynep and also shows that these data vendors have a ton of née in their datasets, and little incentive to clean them up.1 reply 0 retweets 0 likes -
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Replying to @davekarpf
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@davekarpf has solved the Q of how the nee nee got its name@kreissdaniel@zeyneppic.twitter.com/ULmsn6u6vR1 reply 0 retweets 2 likes
@heathbrown @davekarpf @kreissdaniel hahaha. I think we should use née to mean "noise and wrong information inherently present in big data".
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