Quoted By:
>First, we are increasing our use of technology to help identify extremist and terrorism-related videos. […] We will now 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.
>Second, because technology alone is not a silver bullet, we will greatly increase the number of (((independent experts))) in YouTube’s Trusted Flagger programme. 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. […] We will expand this programme by adding 50 expert NGOs to the 63 organisations who are already part of the programme, and we will support them with operational grants. This allows us to benefit from the expertise of specialised organisations working on issues like hate speech, self-harm, and terrorism. We will also expand our work with counter-extremist groups to help identify content that may be being used to radicalise and recruit extremists.
>Third, we will be taking a tougher stance on videos that do not clearly violate our policies — for example, 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. That means these videos will have less engagement and be harder to find. We think this strikes the right balance between free expression and access to information without promoting extremely offensive viewpoints.
>Finally, YouTube will expand its role in counter-radicalisation efforts. Building on our successful (((Creators for Change))) programme […]
