LinkedIn Says Fix Is Coming for Stale Old Posts in Feeds

LinkedIn has confirmed it is working on a fix after users complained that old posts keep resurfacing in their feeds, the company acknowledged in a statement reported by TheDesk.net. The confirmation matters because feed recency directly shapes what practitioners' content earns in impressions.

The problem is straightforward: members open LinkedIn and see posts that are days or weeks old instead of fresh updates from their networks. For creators and brand pages, that's not a cosmetic annoyance. When the feed suppresses recency, newer posts compete against stale content for the same attention, depressing early engagement velocity — the first-hour interaction rate that algorithms typically read as a quality signal.

The company did not publish a technical explanation of what went wrong, according to the report. That leaves an open question about whether the issue sits in ranking (the system that orders posts by predicted relevance) or in feed delivery itself. No rollout date for the fix has been announced.

What does this change for marketers right now?

In the short term, probably very little you can control. If your recent posts are underperforming, stale-feed surfacing is a plausible factor — but treat that as hypothesis, not diagnosis. There's no public data yet quantifying how widely old posts appeared or how long the behavior persisted.

Practical steps while the fix lands:

• Compare this week's impression data against your own trailing average before blaming the platform.
• Avoid re-posting or duplicating content in response; if the feed normalizes, duplicate posts can look like spam.
• Watch LinkedIn's official channels for the fix announcement rather than acting on third-party workaround claims.

It's worth separating what's confirmed from what's circulating. Confirmed: users see old posts, and the company has promised a fix. Not confirmed: any specific cause, any affected-user count, or a timeline.

For publishers and B2B brands that treat LinkedIn as a primary distribution channel, the episode is a reminder that feed integrity issues — even temporary ones — show up in analytics as unexplained variance. Keeping a simple log of anomalies against your posting schedule makes it easier to distinguish platform hiccups from genuine content performance shifts.

The company says a fix is in progress; practitioners will be watching whether old posts disappear from feeds — and whether recent-post reach recovers to prior baselines once it ships.

By Marcus Bennett