Facebook

Report March 2026

Submitted
Commitment 31
Relevant Signatories commit to integrate, showcase, or otherwise consistently use fact-checkers' work in their platforms' services, processes, and contents; with full coverage of all Member States and languages.
We signed up to the following measures of this commitment
Measure 31.1 and 31.2
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
No
If yes, list these implementation measures here
There have been no updates since the last submitted report.
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
No
If yes, which further implementation measures do you plan to put in place in the next 6 months?
As currently drafted, this chapter covers the current practices for Facebook and Instagram in the EU. In keeping with Meta’s public announcements on 7 January 2025, we will continue to assess the applicability of this chapter to Facebook and Instagram and we will keep under review whether it is appropriate to make alterations in light of changes in our practices, such as the deployment of Community Notes.
Measure 31.1 and 31.2
31.1: Relevant Signatories that showcase User Generated Content (UGC) will integrate, showcase, or otherwise consistently use independent fact-checkers’ work in their platforms’ services, processes, and contents across all Member States and across formats relevant to the service. Relevant Signatories will collaborate with fact-checkers to that end, starting by conducting and documenting research and testing. 31.2: Relevant Signatories that integrate fact-checks in their products or processes will ensure they employ swift and efficient mechanisms such as labelling, information panels or policy enforcement to help increase the impact of fact-checks on audiences.
Facebook
QRE 31.1.1 (for Measures 31.1 and 31.2)
Relevant Signatories will report on their specific activities and initiatives related to Measures 31.1 and 31.2, including the full results and methodology applied in testing solutions to that end.
When content has been rated by fact-checkers, we take action to (1) label it and (2) ensure fewer people see it, and (3) sanction repeat offenders. Specifically, Meta's technology is designed to detect content that is the same or nearly identical to content rated by fact-checkers, applying notices and reduced distribution automatically. This integration operates across all content formats relevant to the service, including public posts, ads, articles, photos, videos, Reels, and text-only posts on both Facebook and Instagram.

Labeling. When content has been rated by fact-checkers, we add a notice to it so people can read additional context. Content rated Satire or True won't be labeled but a fact-check article will be appended to the post on Facebook. We also notify people before they try to share this content or if they shared it in the past.
We use our technology to detect content that is the same or almost exactly the same as that rated by fact-checkers, and add notices to that content as well.

Ensuring fewer people see misinformation. Once a fact-checker has rated a piece of content as False, Altered or Partly false, or we detect it as near identical, it will appear lower in Feed on Facebook. We dramatically reduce the distribution of False and Altered posts, and reduce the distribution of Partly false to a lesser extent.

Repeat offenders. Pages, groups, profiles, and websites that repeatedly share content rated False or Altered will be put under some restrictions for a given time period. This includes removing them from the recommendations we show people, reducing their distribution, removing their ability to monetize and advertise, and removing their ability to register as a news Page.

Detection. Meta's systems support fact-checkers' work through a signals-based detection approach, which uses various inputs - including user flags reporting "false information" - to identify and enqueue content for fact-checker review. Fact-checkers ultimately decide what to review and rate. Once content is rated, Meta applies automated enforcement actions (labeling, reduced distribution, ad rejection) and extends these actions to near-identical content detected through matching technology.

In terms of AI-generated content, fact-checkers may rate AI-generated media under our fact-checking program policies. They often rely on AI experts and visual techniques to aid in the detection of this content.
SLI 31.1.1
Member State level reporting on use of fact-checks by service and the swift and efficient mechanisms in place to increase their impact, which may include (as depends on the service): number of fact-check articles published; reach of fact-check articles; number of content pieces reviewed by fact-checkers.
Filtered to content created on Facebook in EEA Member State countries from 01/07/2025 to 31/12/2025: 

1. Number of distinct pieces of content viewed on Facebook that were treated with a fact-checking label due to a falsity assessment by third party fact-checkers between 01/07/2025 to 31/12/2025:.
2. Number of distinct articles written by 3PFCs that were used on Facebook to apply an inform treatment to a content from 01/07/2025 to 31/12/2025:*

These two metrics together show both the scale and impact of fact-checking.

*This metric shows the number of distinct fact-checking articles written by Meta’s 3PFC partners and utilised to label content in each EEA Member State. As articles may be used in multiple countries, and several articles may be used to label a piece of content, the total sum of articles utilised for all Member States exceeds the number of distinct articles created in the EEA (120,000). This is expected. 
Content viewed on Facebook and treated with fact checks, due to a falsity assessment by third party fact checkers between 01/07/2025 to 31/12/2025: Number of Articles written by third party fact checkers to justify rating on Facebook between 01/07/2025 to 31/12/2025: Nr of content pieces reviewed by fact-checkers Other
Austria Over 490,000 Over 33,000 0 0
Belgium Over 730,000 Over 40,000 0 0
Bulgaria Over 570,000 Over 23,000 0 0
Croatia Over 370,000 Over 23,000 0 0
Cyprus Over 150,000 Over 18,000 0 0
Czech Republic Over 460,000 Over 24,000 0 0
Denmark Over 370,000 Over 25,000 0 0
Estonia Over 76,000 Over 10,000 0 0
Finland Over 170,000 Over 20,000 0 0
France Over 3,200,000 Over 60,000 0 0
Germany Over 2,700,000 Over 68,000 0 0
Greece Over 760,000 Over 32,000 0 0
Hungary Over 320,000 Over 22,000 0 0
Ireland Over 450,000 Over 32,000 0 0
Italy Over 2,900,000 Over 62,000 0 0
Latvia Over 130,000 Over 12,000 0 0
Lithuania Over 190,000 Over 16,000 0 0
Luxembourg Over 75,000 Over 15,000 0 0
Malta Over 68,000 Over 13,000 0 0
Netherlands Over 780,000 Over 43,000 0 0
Poland Over 1,400,000 Over 38,000 0 0
Portugal Over 920,000 Over 38,000 0 0
Romania Over 820,000 Over 30,000 0 0
Slovakia Over 280,000 Over 19,000 0 0
Slovenia Over 180,000 Over 16,000 0 0
Spain Over 2,500,000 Over 58,000 0 0
Sweden Over 530,000 Over 35,000 0 0
Iceland Over 37,000 Over 8,400 0 0
Liechtenstein Over 2,900 Over 1,600 0 0
Norway Over 295,000 Over 27,000 0 0
Total EU Over 17,000,000 Over 120,000
SLI 31.1.2
An estimation, through meaningful metrics, of the impact of actions taken such as, for instance, the number of pieces of content labelled on the basis of fact-check articles, or the impact of said measures on user interactions with information fact-checked as false or misleading.
1.  Number of distinct pieces of content viewed on Facebook that were treated with a fact-checking label due to a falsity assessment by third party fact checkers between 01/07/2025 to 31/12/2025.
2. Rate of reshare non-completion among the unique attempts by users to reshare a content on Facebook that was treated with a fact-checking label in EU Member State countries from 01/07/2025 to 31/12/2025.


Content viewed on Facebook and treated with fact checks, due to a falsity assessment by third party fact checkers between 01/07/2025 to 31/12/2025. % of reshares attempted that were not completed on treated content - Facebook between 01/07/2025 to 31/12/2025. Other
Austria Over 490,000 51.00% 0
Belgium Over 730,000 50.60% 0
Bulgaria Over 570,000 56.70% 0
Croatia Over 370,000 56.10% 0
Cyprus Over 150,000 61.10% 0
Czech Republic Over 460,000 38.20% 0
Denmark Over 370,000 52.70% 0
Estonia Over 76,000 44.40% 0
Finland Over 170,000 43.90% 0
France Over 3,200,000 57.80% 0
Germany Over 2,700,000 49.50% 0
Greece Over 760,000 58.00% 0
Hungary Over 320,000 53.30% 0
Ireland Over 450,000 51.20% 0
Italy Over 2,900,000 55.20% 0
Latvia Over 130,000 43.30% 0
Lithuania Over 190,000 49.10% 0
Luxembourg Over 75,000 50.00% 0
Malta Over 68,000 61.10% 0
Netherlands Over 780,000 44.20% 0
Poland Over 1,400,000 49.00% 0
Portugal Over 920,000 62.40% 0
Romania Over 820,000 28.70% 0
Slovakia Over 280,000 38.80% 0
Slovenia Over 180,000 47.90% 0
Spain Over 2,500,000 60.30% 0
Sweden Over 530,000 53.20% 0
Iceland Over 37,000 55.90% 0
Liechtenstein Over 2,900 100.00% 0
Norway Over 295,000 45.00% 0
Total Over 17,000,000
SLI 31.1.3
Signatories recognise the importance of providing context to SLIs 31.1.1 and 31.1.2 in ways that empower researchers, fact-checkers, the Commission, ERGA, and the public to understand and assess the impact of the actions taken to comply with Commitment 31. To that end, relevant Signatories commit to include baseline quantitative information that will help contextualise these SLIs. Relevant Signatories will present and discuss within the Permanent Task-force the type of baseline quantitative information they consider using for contextualisation ahead of their baseline reports.
Average of monthly active users on Facebook in the European Union between 01/07/2025 to 31/12/2025.

There have been no significant updates since the last submitted report.

Monthly Active Users: Over a 6-month period, ending 31 December 2025 (i.e., 1 July 2025 - 31 December 2025), there were a total of approximately 263 million average monthly active users on Facebook in the EU. For monthly active user numbers at a Member State level, please refer to our most recent Facebook DSA transparency report. 
Austria
Belgium
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Ireland
Italy
Latvia
Lithuania
Luxembourg
Malta
Netherlands
Poland
Portugal
Romania
Slovakia
Slovenia
Spain
Sweden
Iceland
Liechtenstein
Norway