The Facebook Algorithm in 2023

In 2023, Facebook's algorithm is more sophisticated and intelligent than ever. The platform has updated and modified the algorithm many times over the years, always to present users with the most relevant and useful content for them. The algorithm uses several ranking factors to determine the content that appears in feeds. Understanding these ranking factors and how they interact can help businesses and marketers create effective campaigns to reach their target audience on Facebook.

Posted on
June 4, 2026
telephone type iphone posé avec application facebook ouverte sur la page de connexion
telephone type iphone posé avec application facebook ouverte sur la page de connexion

TABLE OF CONTENTS

Key Takeaways

  • Previously, Facebook’s algorithm focused on oversharing, lack of News Feed space and content credibility.
  • The algorithm has mainly three ranking levels: Post creators, content type and interactions with the post.
  • Facebook groups could be the future of influencer marketing on the platform.

What Is the Social Media Algorithm?

The social media algorithm refers to the automated process used by platforms to determine what content is displayed to users in their News Feed, timeline or discovery section. In essence, the algorithm is a set of mathematical rules and operations that process a large amount of data, such as user interactions, type of content published, popularity and many other factors, to determine which content is shown to each particular person.

Each social media platform employs its own algorithm to display content to its users. The algorithms are designed to optimize the experience by displaying relevant and interesting content for each profile, in hopes that the user will engage more with the platform and use it more often.

Facebook’s algorithm, for example, decides what content to show users based on various factors, such as the relationship between users, interests, type of content and number of interactions with the user.

A Brief History of the Facebook Algorithm

The social network of choice for college friends was originally a revolutionary way for companies to present themselves, their products and services directly to a new target group. As competition for views and clicks increased, organic reach – the number of people who could be reached for free on Facebook – diminished.

To solve this problem, Facebook developed an algorithm that has evolved over the years since the platform’s launch in 2004. Initially, the News Feed was based on the chronological order of posts, but in 2009 an algorithm was introduced to rank posts according to relevance.

In 2011, Facebook implemented a new algorithm called “EdgeRank”, which uses several factors to determine which posts will be displayed in a user’s News Feed, including the user’s affinity with the content creator and the relevance of the content.

Subsequently, in 2013, EdgeRank was replaced by a more complex algorithm called the News Feed Ranking Algorithm, which uses over 100,000 factors to determine which articles are displayed in users’ News Feeds.

A year later, in 2014, the company tackled the problem of “content overload and lack of space in Facebook’s News Feed” by trying to filter out relevant posts and ads with new filters. But according to TechCrunch, Facebook has done a “poor job of communicating how and why it filters the News Feed so far”.

In 2018, Facebook announced it would change its algorithm to prioritize content from friends and family over brands and businesses. The company announced that the focus would be on people’s “meaningful interactions” and optimizing users’ time spent on the platform. A year later, Mark Zuckerberg announced he would create a social network “centered on privacy”. Here’s what Facebook’s inventor and CEO has to say about it:

“Finally, in 2023, the algorithm is changed again, after focusing in recent months on the rating and credibility of news articles.”

Also read: How to Increase Engagement Rates on Facebook on Kolsquare’s Influencer Marketing Blog

What Is Edgerank and Why Is It So Important?

Edgerank is a version of Facebook’s algorithm that is used to determine which articles will be displayed in a user’s News Feed and their order. It was developed by Facebook to optimize the experience by improving engagement and interaction between users and content.

Edgerank takes into account three main factors:

  1. Affinity: The relationship a user has with the page publishing the content.
  2. Weight: The importance given by Facebook to different types of content, such as videos, images, links, etc.
  3. Time: How fresh the post is and how long it has been posted.

What Makes the Facebook Algorithm Unique?

Facebook’s algorithm refers to a set of guidelines that determine how content is ranked on the platform. It decides the order in which content appears in the News Feed and what content is shown to each user. This is known as “personalized ranking” because the algorithm evaluates and ranks each post, ad, story and reel to display in descending order rather than chronologically, based on each user’s interest.

Facebook’s algorithm determines relevance according to three main ranking levels. These are message creator, content type and interactions with the message. Facebook removes content that violates its community standards and also works to prevent the spread of offensive content such as misinformation, sensationalist health claims or clickbaiting. Of course, you should avoid threatening or violent language, harassment, harmful stereotypes and insults.

How Does the New Facebook 2023 Algorithm Work?

The algorithm is designed to display relevant content from people, brands and groups to which users are already connected. When it comes to Facebook’s 2023 video algorithm, high-quality content is essential for the tool to better rank your videos. Best practices for moving images include being entertaining and engaging, using integrated tools, sticking to a vertical orientation and adding music, as well as avoiding blurry or low-resolution videos, videos with watermarks from other apps, videos with a frame around them and horizontal videos.

As mentioned, Edgerank has been modified several times over the last few years, as the tool has developed and user preferences have evolved worldwide. In 2023, the new algorithm is based on artificial intelligence and is designed to make the most of the platform by offering people personalized content with which they are most likely to interact and find value.

In this process, one of the algorithm’s main objectives is to prioritize content that is important to each individual. This means that Facebook is constantly modifying and updating the algorithm to ensure that users increase the time they spend on the site and consume the content that is most useful to them.

Facebook also offers users the opportunity to shape the algorithm and personalize their News Feed. This is the latest update to Facebook’s “My Favorites” algorithm, which gives users more control, including adding up to 30 people and pages to favorites, shunning users, hiding posts and giving feedback on ads.

What Are the Differences Between Facebook's Algorithm and Instagram's?

Generally speaking, Facebook’s algorithm focuses on providing users with relevant and engaging content in their News Feed, based on their behavior on the platform and the overall popularity of the content. The main aim of the algorithm is to keep users engaged and browsing the platform for longer.

Instagram’s algorithm, meanwhile, focuses on displaying the content in each user’s News Feed that they deem most relevant and interesting to them while placing great importance on visual aesthetics. Instagram’s algorithm is based on signals such as the quality of images, the popularity of hashtags used and the frequency with which users interact with certain types of content.

How Does Facebook's Friend Suggestion Algorithm Work?

Facebook’s friend suggestion algorithm is based on several signals, including profile information, user’s existing connections and activity on the platform. We describe the process in more detail below:

  1. Existing connections: Facebook’s algorithm analyzes a user’s existing connections, including friends, family, colleagues and other acquaintances on the platform. If several people are already friends with someone in common, Facebook may suggest a user to add as a friend.
  2. Recent activity: Facebook can also suggest friends based on a user’s recent activity. For example, if a user has recently interacted with another person’s profile, such as by commenting on or sharing a post, the platform may suggest a new friend in that circle.
  3. Profile information: The algorithm takes into account profile information, such as city, school, university, workplace, interests and other details. If other users have similar profile information, they will probably appear as a friend suggestion.
  4. People search: Finally, Facebook can also suggest friends based on your search activity. If you’ve searched for a specific person on the platform, Facebook may suggest that the user add that person as a friend.

These factors are part of the current process, but the algorithm may change over time, as Facebook continually makes updates to improve the user experience and the relevance of its friend suggestions.

How to Get Around Facebook's Algorithm?

Optimizing your content on Facebook can dramatically improve your relationship, engagement and reach with your Facebook audience.

So here are a few strategies to optimize your use of Facebook’s algorithm in 2023:

Use a Variety of Formats Such as Videos and Images

It’s not new that visual media such as images and videos on Facebook tend to generate more engagement than text-only posts. Use high-quality visuals that are relevant to your audience and represent you in terms of brand identity.

Use Interactive Features for Your Audience

Facebook offers Pages several interactive features, such as polls, quizzes and live videos, which can increase your popularity with your audience. Use these features to encourage engagement and increase your reach, but avoid outright click-baiting, as Facebook’s algorithm doesn’t like it.

Publish Regularly and at Optimized Times

It’s important to publish regularly to keep your target audience interested in your brand and to increase the number of your visitors. However, be careful not to publish too often, as this can reduce engagement. Posting at times when your audience is most active on Facebook can help increase engagement. With Facebook Insights, you can find out when your audience is most active and schedule posts for your page.

Analyze the Data and Relevance of Your Posts

Use Facebook Insights to track the performance of your content and determine which types of posts resonate most with your audience. Use this data to optimize your content strategy and integrate specific topics over time.

Also read: How to Measure the Performance of Your Influencer Marketing With Kolsquare

Test and Experiment to Increase Your Page's Visibility

Don’t be afraid to try new things and test different types of content and publishing strategies. Look at the numbers and determine what works, then adjust your strategy accordingly. Kolsquare tip: Of course, each network operates according to its own logic, so you need to test your strategies according to the platform.

Keep in mind that in the process of improving the ranking of a Facebook profile, content is always the key, which is why we recommend you read our blog post: What Content Works Best on Facebook?

The Future of Facebook's Algorithm

It’s unclear what Facebook’s plans are for the algorithm in the future. Like any other platform, the Meta-owned company is silent on the specifics of its algorithms; after all, AIs are at the heart of networks that are supposed to build user loyalty. However, there’s another tip from Kolsquare, in addition to the strategies generally outlined for the algorithm in 2023.

Instead of becoming just another post in the vastness of the News Feed, it makes sense to create niche communities, also known as Facebook groups, in collaboration with influencers. In these unique groups, they can spark interesting discussions, encourage conscious use of the platform and build user loyalty. While the 2890m monthly active users scroll less through the News Feed, they interact more in Facebook Groups. This also gives potential consumers the feeling of being part of something exclusive, of belonging to a privileged group, which is absolutely true. This trend is also reflected in another development: Influencer marketing on messaging services such as Facebook Messenger or WhatsApp. People prefer to talk personally with their idols and favorite brands on a central topic. At the same time, groups are reducing fake news and hateful comments, as privacy makes users feel safer on the one hand and more easily identified on the other.

Many companies are still reluctant to create such a community, as it has to be maintained (sometimes at great expense). Consequently, creating a Facebook group as an influencer marketing strategy is not a quick or easy task, but it can certainly be worthwhile.

Quels contenus Facebook pénalise-t-il ?

Comme la plupart des plateformes et des réseaux sociaux, Facebook cherche à limiter la visibilité des contenus jugés trompeurs, artificiels ou peu qualitatifs. L’algorithme tend notamment à réduire la portée organique des publications qui génèrent une mauvaise expérience utilisateur ou cherchent à manipuler artificiellement l’engagement.

Parmi les contenus les plus susceptibles d’être pénalisés :

  • Les publications clickbait ou sensationnalistes,
  • Les vidéos recyclées avec filigranes provenant d’autres plateformes,
  • Les contenus dupliqués ou de faible qualité,
  • Les mécaniques d’engagement artificiel (“likez”, “commentez”, “taguez un ami”),
  • Les publications trop promotionnelles,
  • Ou encore les contenus contraires aux standards communautaires de Meta.

À l’inverse, Facebook privilégie les publications natives, authentiques et capables de générer des interactions réelles et durables auprès des utilisateurs.

Stratégies pour maîtriser l'algorithme de Facebook en 2026

Comprendre le fonctionnement de l’algorithme Facebook ne suffit plus : les marques et créateurs doivent désormais adapter leurs publications et contenus aux logiques de recommandation, de rétention et d’engagement valorisées par la plateforme. Dans un environnement dominé par les contenus vidéo et les recommandations IA, certaines pratiques se révèlent particulièrement efficaces pour améliorer la portée organique.

Miser sur les formats vidéos et les Reels

Les Reels occupent une place centrale dans l’écosystème Facebook en 2026. Les contenus courts, verticaux et pensés pour le mobile bénéficient d’une forte visibilité dans les recommandations de la plateforme, à condition de capter rapidement l’attention.

Notre conseil : soignez les trois premières secondes de vos vidéos avec un hook clair, dynamique ou intrigant afin de maximiser le watch time et limiter le scroll.

Favoriser les interactions authentiques

Facebook valorise les contenus capables de générer des conversations réelles et des interactions qualitatives. Les commentaires longs, les partages, les sauvegardes et les réactions authentiques ont davantage de poids que les simples clics ou engagements superficiels.

Notre conseil : privilégiez les contenus qui invitent naturellement à réagir, commenter ou partager une expérience plutôt que les mécaniques artificielles d’engagement.

Publier régulièrement sans saturer l’audience

La régularité reste importante pour alimenter les signaux algorithmiques et maintenir une relation continue avec l’audience. Toutefois, la qualité et la pertinence des contenus restent prioritaires sur la quantité.

Notre conseil : privilégiez une fréquence de publication cohérente et durable, adaptée à votre capacité de production et aux attentes de votre communauté.

Exploiter les fonctionnalités natives de Facebook

Facebook continue de favoriser les contenus utilisant ses formats et outils intégrés : Reels, vidéos natives, lives, sondages, carrousels ou publications communautaires.

Notre conseil : adaptez vos contenus aux usages spécifiques de la plateforme plutôt que de republier automatiquement des contenus issus d’autres réseaux sociaux.

Analyser les performances et tester différents formats

L’algorithme Facebook évolue constamment. Suivre les performances des contenus permet d’identifier les formats, sujets et mécaniques d’engagement les plus efficaces auprès de son audience.

Notre conseil : analysez régulièrement les indicateurs clés comme le watch time, la portée, les partages, les commentaires ou le taux d’engagement afin d’ajuster votre stratégie au fil du temps.

Miser sur des contenus natifs et authentiques

Les contenus trop promotionnels ou excessivement formatés ont tendance à moins bien performer dans les recommandations Facebook. À l’inverse, les contenus incarnés, conversationnels et adaptés aux codes de la plateforme génèrent généralement davantage de rétention et d’interactions.

Notre conseil : privilégiez un ton naturel, des formats immersifs et des prises de parole capables de créer une proximité réelle avec votre audience.

L'avenir de l'algorithme de Facebook

L’algorithme Facebook continue d’évoluer vers une logique de recommandation toujours plus personnalisée. Comme sur d’autres plateformes sociales, Meta s’appuie désormais fortement sur l’intelligence artificielle pour proposer des contenus susceptibles d’intéresser les utilisateurs, même lorsqu’ils ne suivent pas les créateurs ou les pages concernés.

Aujourd’hui, plusieurs tendances structurent l’évolution de la plateforme :

  • La montée en puissance des recommandations algorithmiques,
  • La place centrale des Reels et des contenus vidéo courts,
  • L’importance croissante des interactions authentiques,
  • Le développement des communautés privées et semi-privées,
  • Et une personnalisation toujours plus forte des contenus affichés dans le feed / fil d'actualités.

Meta a d’ailleurs indiqué qu’une part croissante des contenus affichés sur Facebook et Instagram provient désormais de recommandations issues de comptes non suivis, confirmant l’évolution de la plateforme vers un véritable moteur de découverte de contenus.

Les Reels occupent notamment une place stratégique dans cet écosystème. Selon Meta, plus de 3,5 milliards de Reels sont partagés chaque jour sur Facebook et Instagram, tandis que la vidéo représente désormais environ 60 % du temps passé sur les plateformes du groupe. Ces chiffres illustrent le poids grandissant des contenus vidéo courts dans les recommandations et l’engagement des utilisateurs.

Dans le même temps, Facebook continue de valoriser les signaux d’engagement qualitatifs, comme :

  • Les commentaires,
  • Les partages,
  • Les sauvegardes,
  • Les discussions privées,
  • Ou encore les interactions au sein des groupes et communautés.

Pour les marques, l’enjeu ne consiste donc plus uniquement à publier du contenu visible, mais à créer des formats capables de retenir l’attention, générer des conversations et s’intégrer naturellement dans les recommandations de la plateforme.

L’avenir de l’algorithme Facebook semble ainsi s’orienter vers un équilibre entre découverte algorithmique, contenus vidéo, engagement communautaire et interactions plus personnelles.

Conclusion

En 2026, Facebook ne repose plus uniquement sur un fil d’actualité chronologique ou sur les relations entre utilisateurs. L’algorithme de la plateforme s’appuie désormais sur des systèmes de recommandation avancés, capables de personnaliser les contenus en fonction des comportements, centres d’intérêt et interactions de chaque utilisateur.

Dans ce contexte, les marques et les créateurs doivent repenser leur stratégie de contenu autour de plusieurs leviers clés : rétention, engagement authentique, formats vidéo courts, contenus natifs et capacité à générer des conversations réelles.

Les Reels, les recommandations algorithmiques et les interactions communautaires occupent désormais une place centrale dans la visibilité organique sur Facebook. Il ne suffit plus de publier fréquemment : les contenus doivent être capables de capter l’attention rapidement et de s’intégrer naturellement dans les logiques de recommandation de la plateforme.

Pour les professionnels de l’Influence Marketing, comprendre ces mécanismes devient essentiel afin de construire des campagnes plus performantes, plus durables et mieux adaptées aux usages actuels des audiences sur les plateformes Meta.

Questions & réponses

Comment fonctionne l’algorithme Facebook en 2026 ?

L’algorithme Facebook repose sur des systèmes de recommandation alimentés par l’intelligence artificielle. Il analyse les interactions, le watch time, les centres d’intérêt, les partages ou encore les comportements passés afin de personnaliser les contenus affichés dans le feed, les Reels et les recommandations.

Quels contenus sont favorisés par l’algorithme Facebook ?

Facebook privilégie les contenus capables de générer de l’engagement authentique et de retenir l’attention des utilisateurs. Les vidéos courtes, les Reels, les contenus conversationnels et les publications suscitant des commentaires ou des partages ont généralement plus de visibilité.

Les Reels sont-ils importants pour la visibilité sur Facebook ?

Oui. Les Reels occupent une place centrale dans les recommandations Facebook. Les contenus vidéo verticaux, courts et optimisés pour le mobile bénéficient d’une forte mise en avant dans l’algorithme de la plateforme.

Comment booster sa portée organique sur Facebook ?

Pour améliorer sa visibilité organique, il est recommandé de publier régulièrement des contenus natifs, engageants et adaptés aux usages mobiles. Le watch time, les commentaires, les partages et les sauvegardes jouent aujourd’hui un rôle important dans la diffusion des contenus.

Les groupes Facebook sont-ils encore efficaces en 2026 ?

Oui. Les groupes Facebook restent des espaces intéressants pour développer des communautés engagées et renforcer les interactions entre marques, créateurs et audiences autour de centres d’intérêt communs.

Facebook favorise-t-il les contenus issus de comptes non suivis ?

Oui. Meta recommande désormais une part croissante de contenus provenant de comptes non suivis grâce à ses systèmes de recommandation algorithmique basés sur l’intelligence artificielle.

About Kolsquare

Kolsquare is Europe’s leading Influencer Marketing platform, offering a data-driven solution that empowers brands to scale their KOL (Key Opinion Leader) marketing strategies through authentic partnerships with top creators.

Kolsquare’s advanced technology helps marketing professionals seamlessly identify the best content creators by filtering their content and audience, while also enabling them to build, manage, and optimize campaigns from start to finish. This includes measuring results and benchmarking performance against competitors.

With a thriving global community of influencer marketing experts, Kolsquare serves hundreds of customers—including Coca-Cola, Netflix, Sony Music, Publicis, Sézane, Sephora, Lush, and Hermès—by leveraging the latest Big Data, AI, and Machine Learning technologies. Our platform taps into an extensive network of KOLs with more than 5,000 followers across 180 countries on Instagram, TikTok, X (Twitter), Facebook, YouTube, and Snapchat.

As a Certified B Corporation, Kolsquare leads the way in promoting Responsible Influence, championing transparency, ethical practices, and meaningful collaborations that inspire positive change.

Since October 2024, Kolsquare has become part of the Team.Blue group, one of the largest private tech companies in Europe, and a leading digital enabler for businesses and entrepreneurs across Europe. Team.Blue brings together over 60 successful brands in web hosting, domains, e-commerce, online compliance, lead generation, application solutions, and social media.

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