If you've opened your LinkedIn app recently and felt a strange déjà vu, you're not alone. Many users have noticed that their professional feeds are cluttered with posts that are several days—sometimes even weeks—old. Whether it’s a job milestone, a thought leadership post, or a hiring update, chances are high that what you’re seeing isn’t exactly hot off the press.
While LinkedIn has not made any dramatic, publicly announced changes to its algorithm in 2025, what’s happening under the hood is a subtle evolution of how content is prioritized—one that favors engagement over chronology.
LinkedIn’s feed algorithm is driven by four key signals:
User Engagement: Posts with high engagement—likes, comments, shares, and reactions—are likely to be shown more frequently and over a longer period.
Relevancy: The platform attempts to personalize the feed based on a user's industry, interests, and past interactions.
Creator-Follower Relationship: Posts from connections or followed influencers with whom you’ve interacted more are prioritised.
Content Quality: Posts with native content, formatted text, and media (e.g., images, documents, or videos) are more likely to surface prominently.
Unlike platforms such as Twitter/X or Threads, which highlight real-time updates, LinkedIn values quality content with ongoing discussions. That means a week-old post still generating comments may appear higher in your feed than something just shared moments ago.
A few main factors are driving the resurgence of older posts in 2025:
Sustained Engagement Loops: If a post continues to collect interactions days after it's published, LinkedIn’s algorithm keeps it alive in your feed. The longer the discussion, the longer the post remains visible.
Time-Zone Independent Distribution: LinkedIn distributes posts more slowly compared to other platforms, accounting for professional schedules and time zones. This ensures users logging in at different times see major content.
AI-Personalized Relevance: LinkedIn’s machine learning now individually tailors the feed—bringing older posts back to users who haven’t engaged with them yet, assuming they may still find them valuable.
Fewer Frequent Posters: Because LinkedIn’s user base doesn’t post as often as users on platforms like Facebook or Instagram, the algorithm attempts to "stretch" high-performing posts for longer periods.
With over 1 billion users in 2025 and growing demand for meaningful professional interactions, LinkedIn is likely to continue tweaking its AI feed models. While old posts won't disappear overnight, growing user feedback may push LinkedIn to introduce more feed filters or freshness controls in future updates.
