Overview of Instagram Comments
When you view and interact with Instagram, one of the underlying AI systems delivers comments on posts in an order of relevance to you.
How Instagram Comments works
The AI system behind Instagram 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 Instagram. Here’s how it works:
Display most important comments first
The system shows comments that may be most relevant to you at the top of each comment thread. These might include your own comments, your friends’ comments or pinned comments.
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.
Apply filters
Finally, the system applies filters to remove any comments that may go against our Community Guidelines.
How to customize what you see
Your experience on Instagram 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.
See newest comments firstTo view comments in reverse chronological order, tap "Most recent" in the drop-down menu for the comments section.
See comments from Meta Verified users firstTo view all comments from Meta Verified users first before other comments, tap “Meta Verified" in the drop-down menu for the comments section.
See only comments from subscribers (for Creators)To filter out comments and only see those from your subscribers, tap “Subscribers only” in the drop-down menu for the comments section.
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 you are to report a comment you think goes against our Community Guidelines. Comments less likely to be reported are ranked higher
Signals influencing this prediction include:- If you have unfollowed the comment author in the past
- How frequently users have taken action to report comments on the post
- How many times you have previously reported comments
- How long ago the comment was posted
- viewer is author or not
How likely you are to reply to delete a reply on your own post
Signals influencing this prediction include:- number of comments deleted
- what surface the comment is on (Feed, Reels etc)
- How frequently the user deletes the comment
- word count of the comments deleted
- viewer is author or not
How likely you are to reply to the comment or any of its replies
Signals influencing this prediction include:- What surface the comment you are viewing is on (Feed, Explore, Reels, etc.)
- If you are the post author or not
- How many likes the comment has
- How frequently you comment on posts and reply to comments on posts
- How many comments you have made on posts created by this author
How likely you are to scroll past the comment without reading it or any of its replies
Signals influencing this prediction include:- How many likes the post has
- How many likes and replies the comment has
- What surface the comment you are viewing is on (Feed, Explore, Reels, etc.)
- How much time you usually spend on a comment surface
- How many comments you have interacted with in the past
Whether or not you will click to like a comment or any of its replies
Signals influencing this prediction include:- How often you like comments
- viewer is author or not
- The word counts for comments that you have liked
- How many comments and posts you have liked in the past
- How many likes the comment has