Why is LinkedIn changing its feed algorithm?

The problem LinkedIn is actively solving: taming viral vanity fluff

Over recent years, activity on LinkedIn has surged dramatically, with a 42% increase in shared content between 2021 and 2023, a 27% increase in content views, and three new professionals joining the platform every second.

During the pandemic, posts on LinkedIn became increasingly personal. Users began sharing selfies and family photos much as they would on Facebook. Some creators even tried to game the algorithm to rack up as many likes and followers as possible.

However, LinkedIn was never meant to become a corporate Facebook. It is designed not for mass virality, but for sharing professional knowledge. Many LinkedIn members complained, expressing a clear desire to stop seeing personal fluff and instead learn actionable insights to advance their professional skills.

LinkedIn therefore set out to make its news feed more relevant and informative rather than merely flashy or clickbaity. Following these algorithmic adjustments, the company recorded an 80%+ reduction in user complaints regarding irrelevant feed content.

In short, LinkedIn is aligning its content distribution more closely with the expectations of its professional community—curbing personal posts while promoting high-value, actionable business insights.

The two fundamental shifts in the LinkedIn content distribution algorithm

1. Your followers will see more of your posts

This change stems directly from user feedback showing that members find content most valuable when it delivers grounded knowledge and advice from people they actually know and respect.

Since rolling out this update, LinkedIn has observed a +10% increase in members viewing posts from first-degree connections and creators they actively follow.

2. "Knowledge and advice" are now prioritized for out-of-network reach

Producing content centered on actionable advice and domain knowledge is now the primary mechanism for your posts to reach professionals who do not yet follow you.

The algorithm evaluates how much genuine expertise and practical advice a post contains, and then surfaces it to targeted users likely to find that information relevant and useful. LinkedIn prioritizes helping members improve their performance and productivity over raw viral reach.

Since these changes took effect, LinkedIn has seen nearly a +40% increase in users discovering and engaging with knowledge-driven content from creators outside their immediate network.

How does the algorithm identify and reward 'knowledge and advice'?

1. The post speaks to a clearly defined audience

LinkedIn's system analyzes every post and asks who the intended target audience is. That audience might be a niche group of specialists or a specific industry vertical. Editor-in-Chief Daniel Roth and VP of Engineering Alice Xiong advise content creators to focus on what they can offer to genuinely help a specific group of professionals, as this clarity helps the algorithm match the post with the right readers.

2. The author writes within their core domain of expertise

LinkedIn evaluates not only the intrinsic quality of your post, but also your established authority on the topic discussed. For instance, Daniel Roth explains that if someone with no background in geology suddenly posts technical claims about geology, LinkedIn's classifier will flag it as low-credibility content.

3. The post earns "meaningful comments"

Until recently, LinkedIn rewarded posts that accumulated high volumes of comments—even if those comments were generic one-word replies. That loophole led some users to form engagement pods—virtual groups that mass-liked and commented on members' posts artificially.

That era is over. Moving forward, only posts that spark thoughtful, substantive comments—rather than hollow pleasantries—will be algorithmically boosted. The platform also examines who is commenting: when recognized professionals in the same field chime in, it sends a strong positive quality signal.

Finally, replying to comments on your own post also extends its distribution lifecycle. LinkedIn is returning to the core essence of a professional network: meaningful two-way conversation.

4. The post offers a distinct perspective

LinkedIn uses artificial intelligence to classify posts into topical categories and checks whether they contain original analysis or first-hand advice. The classifier distinguishes between generic, repackaged information (rewarded less) and authentic, experience-backed perspectives from the author (rewarded significantly more).

What LinkedIn officially classifies as a content success

Many creators chase thousands of likes and followers on LinkedIn hoping to strengthen their personal brand and generate inbound leads—and because vanity metrics flatter the ego.

Professionals need to rethink their approach now.

Instead of trying to reach the largest possible crowd, the goal is to reach the right decision-makers. That is the fundamental reason why LinkedIn no longer rewards indiscriminate virality.

Think of LinkedIn as a digital version of the workplace, where professionals hold focused, high-value conversations. No single meeting is relevant to every employee across every department—just as no single post should try to appeal to everyone on LinkedIn.

Sources & further reading

• Entrepreneur / Problem Solver - Why LinkedIn Doesn't Want You Going "Viral".
• Alice Xiong - How We're Surfacing Knowledge On LinkedIn.