YouTube beefs up policing of extremist content


The four big tech companies said, Cloudinary, Instagram, which is also owned by Facebook,, LinkedIn, which is owned by Microsoft, Oath, and Snap Inc. were going to begin participating in the shared terrorist content hash database.

The video-sharing platform has been criticised in recent weeks for failing to prevent predatory accounts and commenters from targeting children, as well as for the ease at which terrorist propaganda is uploaded to the site.

In November, confectionary maker Mondelez (NASDAQ:MDLZ), Lidl, Mars and other consumer goods producers joined the boycott after The Times newspaper found YouTube was showing clips of scantily clad children in conjunction with the ads major brands. The technology is now being trained to pick up on child safety and hate speech. Posters whose videos are flagged by the software may be ineligible for generating ad revenue. But amid stepped-up enforcement, the company has received complaints from video uploaders that the software is error-prone.

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Susan Wojcicki, chief executive of Google-owned YouTube, said the company would significantly expand its number of moderators, admitting that "bad actors" were "exploiting our openness to mislead, manipulate, harass or even harm".

"We believe this requires a new approach to advertising on YouTube, carefully considering which channels and videos are eligible for advertising". "We've heard loud and clear from creators that we have to be more accurate when it comes to reviewing content, so we don't de-monetise videos by mistake". In some cases the group will shut down comments altogether, she said.

In June, Google announced additional measures to counter the spread of extremist data via YouTube.

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She said: "Human reviewers remain essential to both removing content and training machine learning systems because human judgment is critical to making contextualised decisions on content".

According to Wojcicki, YouTube spent past year "testing new systems to combat emerging and evolving threats" and invested in "powerful new machine learning technology", and is now ready to employ this expertise to tackle "problematic content".

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