"Some bad actors are exploiting our openness to mislead, manipulate, harass or even harm", Wojcicki said, adding that YouTube's trust and safety teams have reviewed almost 2 million videos for violent extremist content over the past six months. At the moment, creators need at least 10,000 views to be able to earn ad money, but it sounds like the platform will also expand its team of reviewers to vet channels and videos and "ensure ads are only running where they should".
It is hard to know at this stage whether machine learning can adequately flag disturbing content aimed at children, as much of this type of content could be hard for an algorithm to recognise as disturbing or creepy, which is why human content reviewers are needed.
The announcement comes after British Prime Minister Theresa May put heavy pressure on the social media companies to remove radical content after a series of deadly terror-related attacks this year in the United Kingdom.
Ms Wojcicki said that staff had reviewed almost two million videos for violent extremist content since June.
Earlier this year, Google announced it would give a total of £1m ($1.3m) to fund projects that help counter extremism in the UK.
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U.S. IT giant Google will increase the number of employees engaged in the detection of extremist content on its video-sharing service YouTube, as well as other materials violating the service's rules, YouTube CEO Susan Wojcicki said.
Since June, our trust and safety teams have manually reviewed almost 2 million videos for violent extremist content, helping train our machine-learning technology to identify similar videos in the future.
YouTube's parent company, Google, also promises to continue developing advanced machine-learning technology to automatically flag offensive content for removal.
YouTube is a valuable resource, which provides thousands of hours of educational and entertaining content for users to enjoy, but in recent months a darker side of the platform has become more visible.
"Because we have seen these positive results, we have begun training machine-learning technology across other challenging content areas, including child safety and hate speech", she said.