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Of course, size alone is not enough to determine whether a channel is suitable for advertising. We will closely monitor signals like community strikes, spam, and other abuse flags to ensure they comply with our policies.
YouTube vs. Fair Use
Both new and existing YPP channels will be automatically evaluated under this strict criteria and if we find a channel repeatedly or egregiously violates our community guidelines, we will remove that channel from YPP. This combination of hard-to-game user signals and improved abuse indicators will help us reward the creators who make engaging content while preventing bad actors and spammers from gaming the system in order to monetize unsuitable content.
Those of you who want more details, can find additional information in our Help Center. We created Google Preferred to surface YouTube's most engaging channels and to help our customers easily reach our most passionate audiences.
Moving forward, the channels included in Google Preferred will be manually reviewed and ads will only run on videos that have been verified to meet our ad-friendly guidelines. We expect to complete manual reviews of Google Preferred channels and videos by mid-February in the U.
Greater transparency and simpler controls over where ads appear We know advertisers want simpler and more transparent controls. In the coming months, we will introduce a three-tier suitability system that allows advertisers to reflect their view of appropriate placements for their brand, while understanding potential reach trade offs.
At the time, I just assumed that YouTube would never be able to resolve this problem through technology.
YouTube vs. Fair Use
The idea that you could somehow fingerprint every user-created uploaded video against every piece of copyrighted video ever created was so laughable to me that I wrote it off as impossible. This is quintessential fair use: So far, so good.
But then I uploaded a small clip from a different movie that I'm planning to use in another, future blog entry. Within an hour of uploading it, I received this email: No action is required on your part; however, if you are interested in learning how this affects your video, please visit the Content ID Matches section of your account for more information.
Not a hugely popular movie, mind you, but a movie you've probably heard of. This email both fascinated and horrified me. How did they match a random, weirdly cropped thanks, Windows Movie Maker clip from the middle of a non-blockbuster movie within an hour of me uploading it?
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This had to be some kind of automated process that checks uploaded user content against every piece of copyrighted content ever created or the top n subset thereofexactly the kind that I thought was impossible. I began to do some research. I was caught by surprise one day when I received an automated email from YouTube informing me that my video had a music rights issue and it was removed from the site.
I didn't really care. Then a car commercial parody I made arguably one of my better videos was taken down because I used an unlicensed song. That pissed me off.
I couldn't easily go back and re-edit the video to remove the song, as the source media had long since been archived in a shoebox somewhere. And I couldn't simply re-upload the video, as it got identified and taken down every time.
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I needed to find a way to outsmart the fingerprinter. I was angry and I had a lot of free time.
Not a good combination. I racked my brain trying to think of every possible audio manipulation that might get by the fingerprinter. I came up with an almost-scientific method for testing each modification, and I got to work. We compare each upload against all the reference files in our database. This heat map is going to show you how the brain of this system works. Here we can see the reference file being compared to the user generated content. The system compares every moment of one to the other to see if there's a match.
This means we can identify a match even if the copy uses just a portion of the original file, plays it in slow motion, and has degraded audio or video. The scale and speed of this system is truly breathtaking — we're not just talking about a few videos, we're talking about over years of video every day between new uploads and the legacy scans we regularly do across all of the content on the site. And when we compare those years of video, we're comparing it against millions of reference files in our database.
It'd be like 36, people staring at 36, monitors each and every day without as much as a coffee break. I have to admit that I'm astounded by the scope, scale, and sheer effectiveness of YouTube's new copyright detection system that I thought was impossible!
Seriously, watch the TED talk. The more I researched YouTube's video identification toolthe more I realized that resistance is futile. It's so good that the only way to defeat it is by degrading your audio and video so much that you have effectively ruined it. And when it comes to copyright violations, if you can achieve mutually assured destruction, then you have won. This is an outcome so incredible I am still having trouble believing it.How to Download ANY Videos on iPhone/iPad from Internet? (UPDATED 2018)
But I have the automatically blocked uploads to prove it. Now, I am in no way proposing that copyright is something we should be trying to defeat or work around. I suppose I was just used to the laissez faire status quo on YouTube, and the idea of a video copyright detection system this effective was completely beyond the pale.