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Re:Attacks against machine learning – an overview by delbel on Sunday June 10, 2018 @05:49PM (#17280350)
I suggested this to an EFF lawyer at Defcon and they hated the idea. Perhaps I worded it wrong, it makes sense to me. Signal to noise ratio. You should have a legal right to submit false information if you feel a service might harm you at some point.
Re:Attacks against machine learning – an overview by kbrackbill on Sunday June 10, 2018 @05:54PM (#17280375)
Interesting, what did they hate about it?
Re:Attacks against machine learning – an overview by ice_nine on Sunday June 10, 2018 @07:44PM (#17280764)
Not OP but if I had to guess, once you have a 'legal right' to submit false information it paves the way for a lot of unwanted behavior and would help the spread of disinformation. If a service is harming you and you're thinking about ways to legally address the issue, why not just go after the service itself and come up with legal repercussions / regulations for their actions?

Your question led me to this NPR article that briefly talks about the legality of lying on the Internet that's worth mentioning (https://www.npr.org/sections/thetwo-way/2011/11/15/142356399...). It seems that when you agree to the Terms of Service with services like Facebook, you agree to not spread misinformation or misrepresent yourself (https://www.facebook.com/communitystandards/integrity_authen...).

Re:Attacks against machine learning – an overview by itronitron on Sunday June 10, 2018 @11:57PM (#17281641)
In my opinion, it isn't even information in the first place, so it can't be categorized into true or false information buckets. There are way too many conclusions being drawn from the stuff that gets tossed through the digital ether.
Re:Attacks against machine learning – an overview by hellbanner on Sunday June 10, 2018 @07:58PM (#17280806)
Apple could file a patent infringement suit if you tried to automate it.

https://www.digitaltrends.com/apple/apple-gets-privacy-prote...