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The most popular video hosting site checks millions of videos daily for prohibited or copyrighted materials, simultaneously giving out the most interesting videos to recommended ones. Artificial intelligence, which is used in almost all sections of Youtube, helps to do this quickly and efficiently..
Search for prohibited videos
YouTube automatically removed 8.3 million videos in the first quarter of 2019. Algorithms do not work perfectly, sometimes they are completely removed «clean» materials, but in most cases the AI system pays off. Scenes of violence, demonstration of dangerous actions, drugs – all this is successfully detected even at the boot stage.
Before the use of machine learning, malicious videos were removed through user complaints. According to statistics, only 8% of the harmful material was seized before the 10th viewing. After the introduction of AI to protect Youtube, 50% of prohibited content does not even reach 10 views.
Users are unhappy if offensive videos still gain hundreds of thousands of views, falling into the recommended ones. Brand companies often order ads on Youtube and do not want them to appear in prohibited videos that offend the reputation of the advertiser.
External pressures are forcing Youtube developers to work hard to improve artificial intelligence for finding prohibited content. For this purpose, machine learning is used to help organize work. «bad video classifier» on the home page and in the section «Following». Viewer comments are analyzed using big data to help identify inappropriate content or «clickbait» − video with a loud title, the content of which does not match the title.
To section «Following» Videos that are similar in content to the video you are watching are included. Included function «Autoplay» displays the first video in the list located in the section «Following». This list is formed in two stages. The first analyzes the user’s browsing history. In the second step, an independent ranking system is created, which assigns a rating to each video..
It should also be borne in mind that thousands of videos are uploaded to Youtube every minute, which can be listed with the mark «New». Without real-time processing using artificial intelligence and big data technology, YouTube simply would not be able to cope with the issuance and instead of the long-awaited new release «Amkala» a 7-year-old boy in autoplay would have another music video or other video that is not interesting to him.
Youtube as a platform for training
The massive data stream is the perfect training ground for AI. It turned out that the challenges common on YouTube can be not only interesting, but also useful for studying augmented reality. As a result of processing more than 2000 videos with the popular dummy challenge in 2016, programmers got a good basis for studying the depth of field of video to improve VR technologies, the ultimate goal of which is the effect of full presence.
The terrible trend of streaming terrorist attacks began a few years ago and continues today. Galle shooter and terrorist attack in New Zealand – these are not the first such cases.
The US has already demanded that all streaming platforms develop Software that allows you to identify dangerous individuals on live broadcasts before they harm civilians. AI-assisted YouTube and Facebook are already working to remove terrorist content in cooperation with the Justice Department and law enforcement.