Inside YouTube’s struggles to shut down video of the New Zealand shooting

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Inside YouTube’s struggles to shut down video of the New Zealand shooting
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“This was a tragedy that was almost designed for the purpose of going viral,” YouTube’s chief product officer said. His team worked through the night to remove videos of last week's mass shooting in New Zealand.

Neal Mohan, YouTube's chief product officer, was at the helm when videos of last week's mass shooting in New Zealand began to flood the platform. massacres at two New Zealand mosques

The uploads came more rapidly and in far greater volume than during previous mass shootings, Mohan said. Video, mainly from victims’ points of view, spread online from the shootings at a concert in Las Vegas in October 2017 and at a Pittsburgh synagogue last October. But neither incident included a live-stream recorded by the perpetrator. In New Zealand, the shooter apparently wore a body-mounted camera as he fired into crowds of worshipers.

In this case, humans determined to beat the company’s detection tools won the day — to the horror of people watching around the world. Facebook said it removed 1.5 million videos depicting images from the shooting in the first 24 hours after it happened — with 1.2 million of those blocked by software at the moment of upload. Reddit, Twitter and other platforms also scrambled to limit the spread of content related to the attack. YouTube declined to say how many videos it removed.

“Unless users stop using YouTube, they have no real incentive to make big changes,” he said. “It’s still whack-a-mole fixes, and the problems come back every time.” Executives also shored up YouTube’s software tools, particularly in response to breaking news incidents. They quietly built software, called a “breaking news shelf” and a “top news shelf,” that is triggered when a major news incident occurs and people are going to YouTube to find information, either by searching for it or by coming across it on the homepage.

Engineers also immediately “hashed” the video, meaning that artificial intelligence software would be able to recognize uploads of carbon copies, along with some permutations, and could delete them automatically. Hashing techniques are widely used to prevent abuses of movie copyrights and to stop the re-uploading of identical videos of child pornography or those featuring terrorist recruitment.

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