🛰️ News Technology
What Is a News Feed Algorithm?
A feed algorithm decides which stories you see and in what order. Learn the stages every feed goes through and what determines whether it serves you well.
By Headlinne Editorial Team · Updated on
A ranked answer to an impossible question
Tens of thousands of articles are published every day. No reader can see them all, so something has to choose. A feed algorithm is that choosing mechanism: a system that takes a large pool of candidate stories and produces a short ordered list for one specific person.
The important consequence is that there is no neutral option. Chronological order is also an algorithm—it just optimizes for recency, which systematically favors whoever publishes most often. The question is never whether to rank, only what to rank for.
The stages every feed goes through
Nearly all modern feeds follow the same pipeline:
- Ingestion — collecting articles from publishers and normalizing them
- Candidate generation — narrowing thousands of articles to a few hundred plausible ones
- Scoring — predicting relevance for this reader on multiple signals
- Diversity and business rules — preventing repetition, enforcing source spread
- Ordering — producing the final sequence you actually see
What the objective does to the feed
Everything follows from what the system is told to maximize. Optimize for time-on-app and the feed drifts toward whatever provokes reaction, because outrage holds attention. Optimize for clicks and you get headline bait. Optimize for recency and you get whoever publishes fastest.
Optimizing for relevance—predicted usefulness to this reader—produces a noticeably different feed, but it is harder to measure and less immediately profitable, which is why it is less common. When evaluating any feed, the useful question is not "is it personalized" but "personalized toward what end."
The safeguards that matter
Three mechanisms separate a well-built feed from one that narrows over time. Freshness decay stops old stories persisting on past engagement. Diversity constraints prevent convergence onto one topic or a handful of sources. Exploration deliberately reserves capacity for content outside your established pattern, so the system keeps learning rather than reinforcing.
Headlinne uses all three, ranks for relevance rather than time-on-app, and makes the resulting profile visible and resettable. The technical detail is documented in the recommendation engine articles if you want the specifics.
Key takeaways
- ✓There is no unranked feed—chronological order is an algorithm optimizing for recency.
- âś“Ingestion, candidate generation, scoring, diversity rules, and ordering are the universal stages.
- âś“What a feed optimizes for determines everything; freshness decay, diversity, and exploration are the safeguards.
Frequently asked questions
Is a chronological feed more neutral?
No, just differently biased. It favors publishers that post most frequently and gives no weight to significance, which is why pure chronological feeds tend to be dominated by high-volume, low-value sources.
Can I see why a story appeared in my feed?
On Headlinne, yes—the article explaining why articles appear in your feed covers the signals involved, and your recommendation profile is visible in settings.
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