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A comment on A machine learning approach to identifying thought markers of suicidal subjects. Parent comment

Re:A machine learning approach to identifying thought marker... by amelius on Tuesday November 08, 2016 @08:22AM (#12899972)
> classifying possible human behaviors is exactly a field where I don't want machine learning to go

Advertisers are already doing this on a massive scale.

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Re:A machine learning approach to identifying thought marker... by oelmekki on Tuesday November 08, 2016 @08:25AM (#12899996)
If they make an error, it's their own problem, so I'm fine with that. I'm more concerned about researching such models to decide policies or act upon as administratives. I don't think classifying suicidal behavior is something most advertisers are interested about :)
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Re:A machine learning approach to identifying thought marker... by wu-ikkyu on Tuesday November 08, 2016 @09:34AM (#12900505)
>I don't think classifying suicidal behavior is something most advertisers are interested about :)

Facebook has shown an interest in manipulating depressive states of it's users.

http://www.pnas.org/content/111/24/8788.full.pdf

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Re:A machine learning approach to identifying thought marker... by adrianN on Tuesday November 08, 2016 @08:38AM (#12900078)
The content you're presented with on the net is more and more controlled by algorithms. They provide you with stuff they think you'll like. This has an influence on your opinions. On a large enough scale this can very much influence policies and societal developments.
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Re:A machine learning approach to identifying thought marker... by thwee on Tuesday November 08, 2016 @10:10AM (#12900800)
Are you saying that the cost of doing this is low because of advertisers' experience? Or are you saying that it's ok because we already have a slightly less intrusive version of this in place?
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Re:A machine learning approach to identifying thought marker... by danharaj on Tuesday November 08, 2016 @08:25AM (#12899997)
And I hate it
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