Facebook Feed Ranked Comments AI system

UPDATED APR 2, 2026
The content you see on your Facebook Feed Ranked Comments is selected, ranked and delivered to you by an artificial intelligence (AI) system. Within one AI system, multiple machine learning models work together to deliver your experience. These models and their input signals are dynamic and they change frequently as the system learns and improves over time.

Overview of Facebook Feed Ranked Comments

When you view and interact with Facebook, one of the underlying AI systems shows you comments on posts in your Feed that are ranked in order of relevance to you. For example, you might see comments on a post from a Page you follow or a group you’ve joined.
How Facebook Feed Ranked Comments works
The AI system behind Facebook Feed Ranked Comments automatically determines which comments on posts you'll see first by predicting what you’re most likely to be interested in. These predictions are based on a variety of factors, including the general relevance and popularity of the comments, as well as your recent activities on Facebook. Here’s how it works:
  1. Apply privacy checks
    The system checks whether each comment can be shown to the viewer based on privacy and access controls — for example, whether the viewer can see the commenter, whether the comment has been flagged as spam, or whether the comment is restricted based on the viewer's location.
  2. Display most important comments first
    The system shows comments that may be most important to you at the top of each comment thread. These might include your own comments, your friends’ comments or the author’s comments.
  3. Score and order comments
    Next, the system calculates a score for other comments on a post based on multiple input signals, including the relevance of the comment to the post and how popular the comment is among all viewers. Comments are then ordered by their scores.
  4. Apply filters
    Finally, the system applies filters to remove any comments that may go against our Community Standards (https://transparency.fb.com/policies/community-standards/).
How to customize what you see
Your experience on Facebook Feed Ranked Comments is personalized based on your activity, and you have options to control or customize what you see. Below, we describe how to do this with different in-product features. Options shown here may not be available to everyone.
Turn off comment ranking
If comment ranking is turned on for your profile, the most relevant comments will appear first below your posts. You have the option to turn off comment ranking (https://www.facebook.com/help/519101809321181?ref=tc). However, it’s not possible to turn off comment ranking if your profile has a large number of followers.
Change comment sorting mode
You can change how comments are sorted by using the drop-down menu in the comments section. Options include "All comments" to see all comments including those that may have been filtered out, and "Newest" to view comments in reverse chronological order. Learn more (https://www.facebook.com/help/539680519386145/?ref=tc).
How the AI delivers content to you
We want you to see content you enjoy and find interesting. To achieve this, the AI system has models that help it make predictions about content you'll find most relevant and valuable. These prediction models use underlying input signals to help select content you're most likely to engage with.
Below are some of the significant predictions-and input signals that inform them-that we use in this AI system.
How likely a comment appears spammy, abusive, or policy-violating (e.g., hate speech, bullying, harassment) and should be demoted.
Signals influencing this prediction include:
  • Whether the comment appears to be spam, a scam, or contains risky links
  • How likely viewers are to hide or report the comment
  • Whether the comment contains violent, sexual, or otherwise harmful content
  • Whether the comment contains potential policy violations such as hate speech, bullying, or harassment
  • Whether the commenter has a history of prior Community Standards violations
How likely you will click to like a comment on a post
Signals influencing this prediction include:
  • How many times the comment has been liked by others
  • How many times people have viewed the comment
  • The amount of time that has passed between when the post was made and the comment was written
  • How many followers the author of the post has
How likely a the comment is high-quality and contributes positively to the conversation (e.g., relevant, insightful, or humorous)
Signals influencing this prediction include:
  • Whether the comment is relevant to the topic of the post
  • Whether the comment appears to be low-effort, repetitive, or off-topic
  • Whether the comment is entertaining or humorous
  • Whether the comment is interesting or insightful
  • Whether the comment is respectful in tone
How likely a comment is to generate meaningful replies
Signals influencing this prediction include:
  • Whether the comment is relevant to the topic of the post
  • How often the post author has replied to comments in the past
  • How many unique people have already replied to the comment
  • Whether the comment asks a question or invites a response