This effort will never be finished and we have a lot more to do. We're announcing several updates as part of this work:

  • Expanding our fact-checking program to new countries
  • Expanding our test to fact-check photos and videos
  • Increasing the impact of fact-checking by using new techniques, including identifying duplicates and using Claim Review
  • Taking action against new kinds of repeat offenders
  • Improving measurement and transparency by partnering with academics

Expanding our fact-checking program to new countries. Since we first launched the third-party fact-checking program in 2017, we've expanded to 14 countries and have plans to scale to more countries by the end of the year.

These certified, independent fact-checkers rate the accuracy of stories on Facebook, helping us reduce the distribution of stories rated as false by an average of 80%.

Expanding our test to fact-check photos and videos. One challenge in fighting misinformation is that it manifests itself differently across content types and countries.

To address this, we expanded our test to fact-check photos and videos to four countries. This includes those that are manipulated (for example, a video that is edited to show something that did not really happen) or taken out of context (such as a photo from a previous tragedy associated with a different, present-day conflict).

Increasing the impact of fact-checking by using new techniques. With more than a billion pieces of content posted every day, we know that fact-checkers can’t review every story one by one. So, we are looking into new ways to identify fake news and take action on a bigger scale.

Machine learning helps us identify duplicates of debunked stories. For example, a fact-checker in France debunked the claim that you can save a person having a stroke by using a needle to prick their finger and draw blood.

This allowed us to identify over 20 domains and over 1 400 links spreading that same claim.

Also, we're going to start working with our fact-checking partners to use Schema.org's Claim Review, an open-source framework used by various technology companies and fact-checking organisations.

This will make it easier for fact-checkers to share ratings with Facebook and help us respond faster, especially in times of crisis.

Taking action against new kinds of repeat offenders. Historically, we have used ratings from fact-checkers to identify Pages and domains that repeatedly share fake news.

We then take action by reducing their distribution and removing their ability to monetise. To help curb foreign interference in public discourse, we are beginning to use machine learning to help identify and demote foreign Pages that are likely to spread financially-motivated hoaxes to people in other countries.

Improving measurement and transparency by partnering with academics. In April, we announced a new initiative to help provide independent research about the role of social media in elections, as well as democracy more generally.

The elections research commission is in the process of hiring staff and establishing the legal and organizational procedures necessary to become fully independent.

In the coming weeks, the commission will release a website and then its first request for proposals to measure the volume and effects of misinformation on Facebook.

We're currently working with the commission to develop privacy protected data sets, which will include a sample of links that people engage with on Facebook.

The academics selected by the commission will be able to study these links to better understand the kinds of content being shared on Facebook. Over time, this externally validated research will help keep us accountable and track our progress.