How Cambridge Analytica’s Facebook targeting model really worked
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Re: How Cambridge Analytica’s Facebook targeting model really worked
#2I'm excited for GDPR.. The hard part is going to be getting the truth out of these companies about the actual extent of the data they hold on us
Re: How Cambridge Analytica’s Facebook targeting model really worked
#3Am I understanding this correctly? Facebook user data (likes/profile info) was scraped to produce low-dimension feature vectors for users (similar to word2vec). These feature vectors were then run through some ML model to predict...what exactly? Targetability for effective political ads?
Re: How Cambridge Analytica’s Facebook targeting model really worked
#4> has revealed that his method worked much like the one Netflix uses to recommend movies.
I'm not sure this is the model you want to emulate. The suggestions are terrible and continually getting worse.
Re: How Cambridge Analytica’s Facebook targeting model really worked
#5> has revealed that his method worked much like the one Netflix uses to recommend movies. I'm not sure this is the model you want to emulate. The suggestions are terrible and continually getting worse.
It's a hard problem but Netflix's model represents the state of the art in machine learning for recommendations. Still scared of the singularity? :)
Re: How Cambridge Analytica’s Facebook targeting model really worked
#6> has revealed that his method worked much like the one Netflix uses to recommend movies. I'm not sure this is the model you want to emulate. The suggestions are terrible and continually getting worse.
[deleted]
Re: How Cambridge Analytica’s Facebook targeting model really worked
#7> has revealed that his method worked much like the one Netflix uses to recommend movies. I'm not sure this is the model you want to emulate. The suggestions are terrible and continually getting worse.
It's a hard problem but Netflix's model represents the state of the art in machine learning for recommendations. Still scared of the singularity? :)
Really? Because in terms of actual usefulness, I find youtube's suggestions to better...
Re: How Cambridge Analytica’s Facebook targeting model really worked
#8Am I understanding this correctly? Facebook user data (likes/profile info) was scraped to produce low-dimension feature vectors for users (similar to word2vec). These feature vectors were then run through some ML model to predict...what exactly? Targetability for effective political ads?
[ Deleted. Nothing I say on HN ever matters. Move along ]
Re: How Cambridge Analytica’s Facebook targeting model really worked
#9> has revealed that his method worked much like the one Netflix uses to recommend movies. I'm not sure this is the model you want to emulate. The suggestions are terrible and continually getting worse.
It's a hard problem but Netflix's model represents the state of the art in machine learning for recommendations. Still scared of the singularity? :)
How hard can it be? Any film that I didn't watch all the way to end ought to be a strong signal that I didn't enjoy it. Not that I want to watch other movies just like it.
Re: How Cambridge Analytica’s Facebook targeting model really worked
#10Finally, I was waiting for someone to talk about the model itself. It makes sense that SVD or something like it (PCA, co-occurrence, etc) would be used.
But I also wonder what exactly you are going to do with the predictions. What exactly do you show to someone to make them more likely to go and vote if they are inclined to vote your way, or make them stay at home otherwise? Is there evidence that whatever you're showing actually works? Or do you try to change people's minds? What do you do?
Knowing how the state of things -in this case, people's voting inclinations- is not the same as knowing what to do, ie a strategy.
I don't know how effective it is, I'd like to learn more. But I smell the possibility that these CA type firms are simply selling snakeoil to desperate political activists.