YouTube and Google have announced 4 additional steps to fight terrorism.
- Increased use of machine learning technology
Devote more engineering resources to apply our most advanced machine learning research to train new “content classifiers” to help us more quickly identify and remove extremist and terrorism-related content.
- More independent (human) experts in YouTube's flagger program
Machines can help identify problematic videos, but human experts still play a role in nuanced decisions about the line between violent propaganda and religious or newsworthy speech. While many user flags can be inaccurate, Trusted Flagger reports are accurate over 90 per cent of the time and help us scale our efforts and identify emerging areas of concern.
- A tougher stance on controversial videos
Videos that contain inflammatory religious or supremacist content. In future these will appear behind an interstitial warning and they will not be monetised, recommended or eligible for comments or user endorsements.
- Expanding counter-radicalisation efforts
Working with Jigsaw to implement the “Redirect Method” more broadly across Europe. This promising approach harnesses the power of targeted online advertising to reach potential Isis recruits, and redirects them towards anti-terrorist videos
To read the full blog post from Google, click here.