GlossaryPublished Updated

How does a social media algorithm actually decide what to show?

Every major platform gathers posts, predicts what each person will do with them, and ranks by those predictions. How the nine biggest differ, in their words.

The short answer

A social media algorithm gathers the posts a person could see, predicts what that person is likely to do with each one (stop, watch, reply, share, save, scroll past, hide), and shows the posts with the best predictions first. Instagram, Facebook, Threads, TikTok, YouTube, LinkedIn and X describe their ranking in these terms, in more or less detail, and Pinterest describes ranking by engagement and topic. What differs is where each finds its posts and which reactions it weighs most.

How the nine biggest platforms differ

Each platform has published something about its own ranking, from Meta’s detailed system cards for Instagram, Facebook and Threads to X’s open-sourced code. In their own terms, this is where each looks for posts and what counts most.

Where each platform finds posts and what counts most in its ranking, from the platforms’ own descriptions
PlatformWhere posts come fromWhat counts most
InstagramFeed: accounts you follow. Reels and Explore: also accounts you do notStopping past the first seconds, watching to the end, sending to friends, visiting the profile
FacebookFriends, Pages and groups; Reels reach beyond themNot scrolling past, time spent, clicking a link and staying, finishing a reel
ThreadsAccounts you follow and public posts from othersReplies, opening a post, visiting the author
TikTokAnyone; follower count is not a direct factorFinishing a longer video, then likes, shares, comments and follows
YouTubeChosen viewer by viewerClicks, watch time viewers value, satisfaction surveys
LinkedInYour network first, then people with matching interestsDwell time, comments, saves
XAbout half accounts you follow, half accounts you do notReplies, especially ones the author answers; reports and mutes count heavily against
PinterestBy engagement and topic, not by dateSaves
BlueskyFeeds people choose: time order, Discover, custom feedsPosting when followers read; fitting a feed’s topic

Three things they all share

Read across the platforms and the same three ideas recur:

  • They predict behaviour, not quality in the abstract. Each system estimates what a specific person will do with a specific post. The same post can rank high for one reader and low for another.
  • Attention beats approval. Watching to the end, reading for a while, replying and saving count for more than a quick like on almost every platform. X’s published weights made it explicit: a reply counted 27 times a like.
  • Annoying people costs the most. Skipping, hiding, “show less”, muting and reporting are predicted too, and they push a post down hard. On X, a report counted against a post more than 700 times as much as a like counted for it.

Followers matter less than they did

Most platforms now show people posts from accounts they do not follow. Instagram’s Reels and Explore, Facebook Reels, Threads and X all mix them in, and TikTok says follower count is not a direct factor at all. A post that holds strangers can travel far beyond its account’s followers, and a post that does not can go unseen by most of them.

The exceptions are worth knowing. LinkedIn starts with your network, Instagram’s Feed with the accounts a person follows, and Bluesky’s Following feed is pure time order. On those, followers and timing still decide a post’s first audience.

Every platform lets people skip the ranking

Each of the big platforms offers a time-ordered view: Instagram’s “See newest content first”, Facebook’s and Threads’ Following feeds, X’s Following tab and Bluesky’s Following feed. Instagram and Facebook also let people mark Favorites whose posts move up. Followers who use these see you whatever the predictions say, which is why timing still matters even on ranked platforms.

What to do with this

Turn the shared ideas into habits that work on every platform:

  • Open with the point. Every system measures whether people stop or scroll past.
  • Earn the reaction that platform weighs: a finish on TikTok, a reply on X and Threads, a save on Pinterest and LinkedIn, a send on Instagram.
  • Answer the replies you get. Conversation keeps a post in circulation, and on X the author’s reply weighed most of all.
  • Never bait. Posts that get hidden, muted or reported are pushed down harder than likes can lift them.

Questions

Do social media algorithms show posts in chronological order?

Not by default on most platforms, but nearly all offer a time-ordered view: Following feeds on Facebook, Threads, X and Bluesky, and “See newest content first” on Instagram. Pinterest says it ranks by engagement and topic rather than date.

Why does the reach of my posts vary so much?

Because each post is ranked on how the people it is shown to react. A post that holds its first viewers is shown to more; one they pass is not. Variation from post to post is normal on every platform.

Do likes still matter?

A little. On most platforms, reactions that take effort, such as replying, saving, sharing and watching to the end, count for much more than a like.

Do I need a lot of followers to be seen?

Less than before. TikTok says follower count is not a direct factor, and Instagram, Facebook, Threads and X all show posts from accounts people do not follow. Followers matter most on LinkedIn, Instagram’s Feed and Bluesky’s Following feed.

Sources

  1. Meta, Instagram Feed AI system, June 2026.
  2. Meta, Facebook Feed AI system, October 2026.
  3. Meta, Threads Feed AI system, March 2025.
  4. TikTok, How TikTok recommends videos #ForYou, June 2020.
  5. YouTube, On YouTube’s recommendation system, September 2021.
  6. LinkedIn, Understanding dwell time to improve LinkedIn feed ranking, May 2020.
  7. X, Heavy ranker: engagement weights, April 2023.
  8. Pinterest, A beginner’s guide to Pinterest content, October 2022.
  9. Bluesky, Algorithmic choice with custom feeds, July 2023.

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