A feed algorithm is a set of computational rules, used in most social media platforms, that selects, ranks, and personalizes content for a user’s (Content consumer) feed based on signals such as relevance, behavior, popularity, and platform goals.
It decides which posts appear and why they appear in that sequence.
What a feed algorithm typically does
- It collects signals: It looks at:
- your past behavior (likes, views, watch time, clicks)
- your connections (friends, follows, communities)
- content characteristics (topic, format, freshness)
- global signals (what’s trending, what’s popular)
- It predicts relevance. The algorithm, often using machine learning models, estimates:
- what you’re likely to engage with
- what might keep you on the platform
- what aligns with your interests or habits
- It ranks content: It sorts posts from “most likely to interest you” to “least likely.” This ranking determines the order of your feed.
- It filters content. Some posts are boosted, others suppressed, based on:
- quality signals
- safety rules
- spam detection
- platform policies
- It personalizes the experience: Two people following the same accounts can still see very different feeds because the algorithm adapts to each user.
Source for the page : See Epistemic bubble. Copilot, asked on February 24th, 2026. Links to other Societal architecture model elements and some modifications by the editor so as to better illustrate the relevance of the concept in public policy cycles at levels international, federal and national.
Source: The SDG Partnership Guidebook (page 32).
The backlinks below usually do not include the child and sibling items, nor the pages in the breadcrumbs.
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