Hi-Tech

YouTube To Deploy Reviewers To Filter Extremist, Disturbing Videos

YouTube To Deploy Reviewers To Filter Extremist, Disturbing Videos

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 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 continue the significant growth of our teams into next year, with the goal of bringing the total number of people across Google working to address content that might violate our policies to over 10,000 in 2018".

The reports led several big brands including Mars and Adidas to pull advertising from the site.

We want advertisers to have peace of mind that their ads are running alongside content that reflects their brand's values.

Ms Wojcicki said that staff had reviewed almost two million videos for violent extremist content since June.




Google-owned video-sharing site YouTube will hire 10,000 people to keep a check on the negative content on the platform.

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

YouTube will also expand its number of reviewers that check to make sure ads run next to appropriate videos.

Wojcicki said that while Youtube was a "force for creativity, learning and access to information" she had also "seen up-close that there can be another, more troubling, side of Youtube's openness". "It's important we get this right for both advertisers and creators, and over the next few weeks, we'll be speaking with both to hone this approach".

Apart from expanding the current strength, the company plans to take punitive measures about inappropriate comments by introducing new comment management tools and blocking mechanisms. Wojcicki claimed that since starting to use machine learning to flag videos of this nature, it has reviewed content that would have taken 180,000 people working 40 hours a week in the same time-frame to assess. "But no matter what challenges emerge, our commitment to combat them will be sustained and unwavering".