Facebook

Report September 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, we did not introduce any new measures in the reporting period. 
If yes, list these implementation measures here
N/A
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, we do not plan to put further implementation measures in place in the next 6 months. 
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 (which, for the avoidance of doubt, has not been rolled out in the EEA during the reporting period). 
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) penalise repeat offenders. 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.

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 labelled 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. Meta does not suggest content to users once it is rated by a fact-checker, which significantly reduces the number of people who see it.

Repeat offenders. Facebook 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 monetise 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 (labelling, 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 programme 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 between 01/01/2026 and 30/06/2026: 

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 01/01/2026 and 30/06/2026: 
2. Number of distinct articles written by 3PFCs that were used on Facebook to apply an inform treatment to a content between 01/01/2026 and 30/06/2026:*

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 (119,000). This is expected. 

**Owing to a number of technical issues, data was not captured for 53 days during this reporting period, primarily from 21 January to 6 March 2026. As a result, the affected metrics should be interpreted as a lower bound of the true volumes.
Content viewed on Facebook and treated with fact-checks, due to a falsity assessment by third-party fact-checkers between 01/01/2026 and 30/06/2026: Number of Articles written by third-party fact-checkers to justify rating on Facebook between 01/01/2026 and 30/06/2026:
Austria 319,316 26,388
Belgium 483,671 31,844
Bulgaria 380,233 18,434
Croatia 228,450 18,198
Cyprus 103,585 14,211
Czech Republic 344,103 19,466
Denmark 243,127 19,306
Estonia 51,001 8,049
Finland 115,933 15,497
France 2,052,817 48,812
Germany 1,768,156 56,827
Greece 490,180 25,326
Hungary 207,426 17,368
Iceland 24,582 6,172
Ireland 283,788 25,055
Italy 1,914,646 51,765
Latvia 94,304 9,496
Liechtenstein 1,923 1,160
Lithuania 129,645 13,092
Luxembourg 47,660 10,839
Malta 45,725 9,818
Netherlands 522,005 33,500
Norway 190,101 20,734
Poland 923,593 30,380
Portugal 555,898 30,367
Romania 520,618 24,604
Slovakia 208,303 15,087
Slovenia 113,746 12,802
Spain 1,720,888 48,096
Sweden 334,630 27,202
Totals 14420053 689895
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 01/01/2026 and 30/06/2026. 
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 01/01/2026 to 30/06/2026. 

*Owing to a number of technical issues, data was not captured for 53 days during this reporting period, primarily from 21 January to 6 March 2026. As a result, the affected metrics should be interpreted as a lower bound of the true volumes.


Content viewed on Facebook and treated with fact-checks, due to a falsity assessment by third-party fact-checkers between 01/01/2026 and 30/06/2026. % of reshares attempted that were not completed on treated content - Facebook between 01/01/2026 and 30/06/2026.
Austria 319,316 49.64%
Belgium 483,671 48.55%
Bulgaria 380,233 55.22%
Croatia 228,450 51.75%
Cyprus 103,585 57.47%
Czech Republic 344,103 38.17%
Denmark 243,127 50.26%
Estonia 51,001 42.36%
Finland 115,933 49.94%
France 2,052,817 54.37%
Germany 1,768,156 47.66%
Greece 490,180 55.44%
Hungary 207,426 54.75%
Iceland 24,582 52.94%
Ireland 283,788 48.42%
Italy 1,914,646 56.50%
Latvia 94,304 43.87%
Liechtenstein 1,923 100.00%
Lithuania 129,645 47.34%
Luxembourg 47,660 54.14%
Malta 45,725 61.20%
Netherlands 522,005 44.34%
Norway 190,101 50.42%
Poland 923,593 47.05%
Portugal 555,898 58.36%
Romania 520,618 26.14%
Slovakia 208,303 40.90%
Slovenia 113,746 38.73%
Spain 1,720,888 59.89%
Sweden 334,630 52.28%
Total 14,420,053
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 01/01/2026 and 30/06/2026.
There have been no significant updates in methodology since the last submitted report.

Between 1 January - 30 June 2026, there were a total of approximately 264 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