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The problem with large platforms is that they are open to abuse you see the same problems at Facebook, Twitter, YouTube, etc, it's basically an infinite problem
by raiyu 9y ago
The problem with large platforms is that they are open to abuse you see the same problems at Facebook, Twitter, YouTube, etc, it's basically an infinite problem.
All of the "machine learning" algorithms aren't really that intelligent, because they have no real human context, so then you augment that with a trust and safety team to do manual review.
When you couple that with a platform that has millions, or billions of users, you simply do not have enough trained people doing the review process so legitimate users, even with large followings, sometimes get nabbed.
Just like legitimate people with less subscribers can be caught in the same web.
Then you are basically at the mercy of the queue and the number of actual people they have doing the manual review work, which in YouTube's case I'm guessing is rather massive.
- specialp 9y agoGoogle really needs to have a human contact that can be reachable for channels with a large amount of subscribers. Advertisers do provide Google with nearly all of their revenue, but then again so do content providers as Google provides next to no content of their own. The fact that we have large channels being arbitrarily taken down with no warning shows how obtuse Google is.
- confounded 9y agoOr maybe content creators need to get away from Google.
- mo45 9y agoIt's still possible. Visit China. Both sides need to learn from each other to move forward. Blind faith in either fully open or fully controlled networks is the sign of unimaginative robotic mindsets that waste everyone's time.
- frabbit 9y agoBlind faith in any paternalist system which makes judgements for us about which information is appropriate for us results in western democracy, whose death throes due to information poverty we are now seeing.
- zo1 9y agoThe problem is not one of intelligence, but of consistency. Even human operators would struggle with this sort of stuff. Though at least with them, they have empathy and personal-bias which just makes the outcomes swing one way or the other even if they don't makes sense. AI struggles with this problem because it's a vague and poorly-defined one. That's why you have to take the only way out, either ban it all, or allow it all. For the latter, I'd echo what someone else in this discussion mentioned, let them self-censor what they don't like. Rather than trying to come up with one size fits all classification rule that really doesn't cater for anyone really. I would liken it to a multi-dimensional classification problem. And each person has their own classification. We're essentially trying to pigeon-hole a single delineation between acceptable/non-acceptable topics onto an entire population. It's borderline stupid behavior, and I have no idea why anyone thinks it'll please everyone all the time.