A report in Wired details the process workers on the Amazon-owned hub MTurk go through to train YouTube's content-flagging AI.
machine learning
- YouTube Deleted 8.3 Million Objectionable Videos Last Quarter, Thanks Mostly To Machines
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Workers Enlisted By YouTube For AI-Training Efforts Make 10 Cents A Task To Analyze Videos
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YouTube Says 70% Of All Watch Time Is Driven By Its Own Recommendations
The fact that YouTube is so good at suggesting videos has resulted in longer watch-times, said chief product officer Neal Mohan.
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YouTube Will Have 10,000 Humans Working To Purge Questionable Content In 2018
YouTube is taking lessons learned from the first 'Adpocalypse' -- triggered by violent extremist videos -- and applying them to tackle other content.
- YouTube Erroneously Removed Videos Showing Potential War Crimes In Syria, Activists Say
- YouTube Will Place Flagged “Supremacist” Videos That Don’t Violate Its Guidelines In A “Limited State”
- Can Instagram Use AI To Weed Out Hate Speech?
- YouTube Updates Its Automatic Captions To Catch Common Sound Effects
- YouTube Viewers Now Consume 1 Billion Hours Of Content Every Single Day
- Google Unveils YouTube-8M, A Research Database Of 8 Million Videos To Help Improve Search
- Twitter Buys Machine Learning Startup For $150 Million To Enhance Video Delivery
- Google Teaches Computers How To Pick Out Better YouTube Thumbnails
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