Instagram has announced updates to its ranking algorithms and features in response to feedback from creators.
The Meta-owned platform aims to provide better explanations on how ranking works and help users, especially creators, understand the content they see on Instagram.
“The platform uses a variety of algorithms, classifiers, and processes tailored to different parts of the app, such as Feed, Stories, Explore, Reels, and Search,” a statement in the blog read.
For the Feed, Instagram considers recent posts from followed accounts, recommended content, and ads.
The ranking process involves analyzing factors like user activity (likes, shares, comments), post information (popularity, timing, location), and the person who posted (interest level, interaction history).
Predictions are made based on the likelihood of user actions (spending time, commenting, liking, sharing, tapping on profile photo), and posts are ranked accordingly.
“Stories are ranked based on viewing and engagement history, as well as the user’s relationship with the account.”
Explore aims to show users content from accounts they don’t follow, based on their past activity, popularity signals, and interaction history.
Reels, similar to Explore, focus on entertainment and discovery. Reels are ranked based on user activity, interaction history, reel information, and the person who posted the reel.
“Instagram provides users with controls to personalize their experience. These include adding accounts to Favorites, snoozing suggested posts, selecting Close Friends for Stories, muting accounts, and unfollowing accounts. Users can also adjust the Sensitive Content Control and provide feedback by indicating “Not Interested” or “Interested” on recommended posts.”
To maintain a safer community, Instagram has Community Guidelines and Recommendations Guidelines that restrict certain content. Violations of these guidelines may result in the removal of posts, limitations on sharing features, or account suspension.
“Overall, Instagram aims to optimize users’ experiences by using technology to personalize content based on their preferences, interactions, and interests across different parts of the app.”
