YouTube hiring 10000 staff to weed out extremist content

YouTube is hiring 10,000 people to monitor and control bad content

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

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.

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 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. This was due to the fact that there were videos with children that were the target of sexually inappropriate comments. "This will also help vetted creators see more stability around their revenue", she says.

Google (GOOG, GOOGL) will have 10K people reviewing and flagging content across its platforms by next year to teach AI how to do the job better.

"Human reviewers remain essential to both removing content and training machine learning systems because human judgment is critical to making contextualized decisions on content", the CEO wrote in a blogpost, saying that moderators have manually reviewed almost 2m videos for violent extremist content since June, helping train machine-learning systems to identify similar footage in the future.

YouTube is taking stern actions to protect its users against inappropriate content with stricter policies and larger enforcement teams, YouTube CEO Susan Wojcicki said in a blog post.

"We will be talking to creators over the next few weeks to hone this new approach", YouTube CEO said.

She said this in turn was helping to train its machine learning technology to identify similar videos in the future.

However, Wojcicki stressed that human reviewers remain essential to both removing content and training machine learning systems because "human judgment is critical to making contextualized decisions on content".

Machine learning is key to this process, however, and YouTube has already harnessed it to great effect in flagging violent extremist content - as well as comparable comments - for human review. The website said it is drastically increasing the number of people in charge of overseeing content.

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