YouTube says over 10000 workers will help curb shady videos

YouTube Will Add More Human Moderators To Stop Its Child Exploitation Problem

YouTube addressed the issue this week, saying it has reviewed almost 2 million videos for violent, extreme content and removed more than 150,000 of those videos since June - largely with the help of its "machine-learning technology" that can identify problematic videos.

Google is Doing Something about the latest scandal it finds itself in (YouTube/comments/paedophiles), revealing a plan to boost its video content moderation team to as many as 10,000 people.

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.

As the YouTube CEO explained, the company will continue to bolster its staff, which will be tasked with monitoring the video content and expanding "the network of academics, industry groups and subject matter experts" who can help YouTube "better understand emerging issues".

Susan Wojcicki, CEO of YouTube, made the announcement while laying out its plans to stop "abuse of our platform" - saying it will be looking to apply lessons it has learned from tackling violent extremist content to other areas of concern.

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.

Finally, YouTube promises to be a lot more transparent.

Wojcicki said YouTube was taking a "new approach to advertising", with more manual curation, stricter criteria for videos eligible to show ads, and a greater number of ad reviewers. Equally, we want to give creators confidence that their revenue won't be hurt by the actions of bad actors.

She said adding more people to identify inappropriate content will provide more data to supply and potentially improve its machine learning software.

YouTube says its machine-learning algorithms help take down 70 percent of violent extremist content within eight hours of upload. "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 demonetize videos by mistake".



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