YouTube employs more people to identify extremist video content

YouTube to counter extremist content with 10000 staff

YouTube said Monday that it is also taking steps to try to reassure advertisers that their ads won't run next to gross videos. Subsequent revelations that YouTube was offering up cartoons featuring what the BBC called "animated violence and graphic toilet humor" added fuel to the controversy. It was not immediately clear whether those would be contract workers or actual Googlers.

Finally, YouTube promises to be a lot more transparent.

Read the full story on Silicon Beat.

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. The company said its new efforts to protect children from unsafe and abusive content and block hate speech on the site were modeled after the company's ongoing work to fight violent extremist content.

In a blog post, Wojcicki said the company was already taking "aggressive action" on comments, and was testing new systems to counter threats that combine human and automated checks.

It said adverts for major brands were appearing alongside some of the videos, which led to several big brands including Mars and Adidas pulling advertising from the site.

A Times investigation last month revealed that Youtube videos showing "scantily clad children" had attracted comments from hundreds of paedophiles, in some cases encouraging them to perform sex acts. Equally, we want to give creators confidence that their revenue won't be hurt by the actions of bad actors. (NASDAQ:GOOGL), plans to dedicate more people to help weed out extremist content from the video sharing website.

"We believe this requires a new approach to advertising on YouTube, carefully considering which channels and videos are eligible for advertising".

Wojcicki said 180,000 people would have had to work 40 weeks to assess the same amount of content.

"We are planning to apply stricter criteria, conduct more manual curation, while also significantly ramping up our team of ad reviewers to ensure ads are only running where they should".

Wojcicki said that in addition to an increase in human moderators, YouTube is continuing to develop advanced machine-learning technology to automatically flag problematic content for removal.

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