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Explaining Ranking
Instagram Threads Feed

Instagram Threads Feed AI system

UPDATED MAR 7, 2025
The content you see on your Instagram Threads Feed 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 Instagram Threads Feed

When you view and interact with Threads, one of the underlying AI systems delivers the content you see in your Threads feed, which is powered by the Threads AI system. This feed is composed of content from people you follow and recommended content. When you’re scrolling through your feed, the AI system blends content from both accounts you follow and recommended content.
How Instagram Threads Feed works
The AI system behind Threads Feed automatically determines which content shows up in your feed, and in what order, by predicting what you’re most likely to be interested in or engage with. These predictions are based on a variety of factors, including what and whom you’ve followed, liked or engaged with recently. Here’s how it works:
  1. Gather inventory
    The system gathers a portion of the public content available on Threads and all the content posted by accounts you follow, which may include text posts, photos and videos that follow our quality and integrity rules.
  2. Leverage signals
    Next, the AI system considers a variety of input signals about the content. These signals might include how you've engaged with similar accounts, content or your interests.
  3. Rank content
    Finally, the system ranks content from the previous step. Content that the system predicts will provide more value for you is shown higher in your feed. This helps the system make content recommendations that more closely match your preferences.
How to customize what you see
Your experience on Instagram Threads Feed 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.
Unfollow
To stop seeing certain content from a certain account, you can unfollow it.
Hide
In the three-dot overflow menu on a post, you can click “Hide” so you won’t see that post again in your feed. This action also helps to limit similar content from showing up in your feed.
Mute
If you don't want to see someone's content, you can mute that account.
See content only from accounts you follow
You can click the Threads logo on your home screen and then click “Following” to see content only from accounts you follow, in reverse chronological order. When you select this option, you won’t see recommended content.
Report
If you see something you think goes against our Community Guidelines, you can report it to us. You can also report posts that you think are spam or false information. The system will try to show you less content that is similar to the content you reported.
Share
You can share a post by sending it to a chat, adding it to your story or sharing it to another app or site.
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 like a post
Signals influencing this prediction include:
  • This feature captures the viewer's engagement on the Text Post App feed over the past week, including how long they spent viewing each post
  • This feature captures the viewer's engagement on the Text Post App feed over the past week, including how many posts they liked
  • This feature captures the media IDs that the viewer has liked on Text Post App in the last 15 minutes, up to a maximum of 100 IDs
  • This feature captures the viewer's engagement rate with authors on Text Post App feed, based on how often they like posts from those authors
  • This feature captures the viewer's engagement on the Text Post App permalink over the past week, including how long they spent viewing each post.
How likely you are to scroll past a post rather than engage with it
Signals influencing this prediction include:
  • This feature captures the viewer's engagement on the Text Post App feed over the past week, including how long they spent viewing each post
  • This feature captures the viewer's engagement on the Text Post App permalink over the past week, including how long they spent viewing each post
  • This feature captures the viewer's engagement on the Text Post App permalink over the past day, including how long they spent viewing each post.
  • This feature captures the viewer's engagement on the Text Post App feed over the past day, including how long they spent viewing each post.
  • This feature captures the viewer's engagement on the Text Post App feed over the past month, including how long they spent viewing each post
How likely you are to click on a post's author's profile and then click on another post
Signals influencing this prediction include:
  • This feature captures the current page size of the Text Post App feed, which can affect the number of posts displayed to the user.
  • Media time spent counter features on Text Post App for the past 6 hours, including vpvd impressions.
  • This feature captures the media's engagement on Text Post App across all modules over the past month, including how many times the brand profile was tapped.
  • This feature captures the type of request made by the user on Text Post App, such as a post tap or a profile tap.
  • This feature captures the viewer's engagement on Text Post App across all modules over the past day, including how many posts they tapped on
How likely you are to click on a post and then click on another post
Signals influencing this prediction include:
  • This feature captures the engagement of descendants (e.g. replies, likes) on Text Post App within level 2 (i.e. replies to replies) over the past 6 hours, including how many times a post was tapped.
  • This feature captures the engagement of descendants on Text Post App within level 2 over the past hour, including how many times a post was tapped
  • This feature captures the type of request made by the user on Text Post App, such as a post tap or a profile tap
  • This feature captures the current page size of the Text Post App feed, which can affect the number of posts displayed to the user
  • This feature captures the amount of time spent by users on Text Post App media over the past 6 hours, including how long they spent viewing each post
How likely you are to create a reply to a post
Signals influencing this prediction include:
  • This feature captures the engagement of descendants (e.g. replies, likes) on Text Post App within level 2 (i.e. replies to replies) over the past hour, including how many times a post was viewed.
  • This feature captures the number of media created by the viewer on Text Post App over the past month.
  • This feature captures the number of media created by the viewer as replies on Text Post App over the past week
  • This feature captures the number of media created by the viewer on Text Post App over the past week
  • This feature captures the engagement of descendants on Text Post App within level 2 over the past 6 hours, including how many times a post was tapped
How likely you are to click on a post
Signals influencing this prediction include:
  • This feature captures the current page size of the Text Post App feed, which can affect the number of posts displayed to the user
  • This feature captures the engagement rate of media on Text Post App feed, based on the ratio of likes to impressions
  • This feature captures the engagement of media on Text Post App feed by viewer country over the past week, including how many times a post was tapped
  • This feature captures the engagement of descendants (e.g. replies, likes) on Text Post App within level 2 (i.e. replies to replies) over the past hour, including how many times a post was viewed.
  • This feature captures the engagement of viewers on Text Post App feed over the past month, including how long they spent viewing each post
How likely you are to click on a post's author's profile
Signals influencing this prediction include:
  • This feature captures the current page size of the Text Post App feed, which can affect the number of posts displayed to the viewer
  • This feature captures the engagement of descendants (e.g. replies, likes) on Text Post App broken down by event type over the past week, including how many times the brand profile was tapped
  • This feature captures the page index of the Text Post App feed, which can affect the order of posts displayed to the viewer
  • This feature captures the type of request made by the user on Text Post App, such as a post tap or a profile tap
  • Media engagement features on Text Post App for all modules in the past 28 days, including brand profile taps
How likely you are to click on a post and then like it
Signals influencing this prediction include:
  • This feature captures the type of request made by the user on Text Post App, such as a post tap or a profile tap
  • This feature captures the amount of time spent by users on Text Post App media over the past day, including how long they spent viewing each post
  • This feature captures the engagement of viewers on Text Post App feed for replies over the past month, including how many times a post was liked
  • This feature captures the engagement of descendants (e.g. replies, likes) on Text Post App within level 2 (i.e. replies to replies) over the past hour, including how many times a post was viewed.
  • This feature captures the current page size of the Text Post App feed, which can affect the number of posts displayed to the viewer
How much time you spend viewing a post's permalink page
Signals influencing this prediction include:
  • This feature captures the engagement of descendants (e.g. replies, likes) on Text Post App broken down by event type over the past hour, including how many times a post was viewed.
  • This feature captures the engagement of descendants on Text Post App within level 2 (i.e. replies to replies) over the past hour, including how many times a post was viewed.
  • This feature captures the engagement of descendants on Text Post App broken down by event type over the past 6 hours, including how many times a post was viewed
  • This feature captures the engagement of viewers on Text Post App feed for replies over the past month, including how long they spent viewing each reply.
  • This feature captures the engagement of descendants on Text Post App broken down by event type over the past hour, including how many times a post was tapped.
How much time you spend viewing a post
Signals influencing this prediction include:
  • This feature captures the number of impressions (views) received by Text Post App media
  • This feature captures the amount of time viewers spend on Text Post App feed broken down by time spent buckets over the past 84 days, including how long they spend viewing each post
  • This feature captures the page index of the Text Post App feed, which can affect the order of posts displayed to the viewer
  • This feature captures the amount of time viewers spend on Text Post App feed broken down by media type over the past month, including how long they spend viewing each post
  • This feature captures the device platform used by the viewer on Text Post App, such as iOS or Android
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