LinkedIn Algorithm (Definition)

LinkedIn's algorithm is a set of signals that orders each user's feed, weighing relevance, relationship strength, content quality, and predicted engagement to decide what you see first.

Why it matters

In 2026, LinkedIn's algorithm has fundamentally changed. It now values interaction quality over quantity, conversation depth over superficial reactions, and authenticity over artificial engagement. Understanding how LinkedIn's algorithm works is essential for optimizing your visibility. Posts that generate real conversations, high dwell time, and quality comments are rewarded with better visibility.

Example

LinkedIn's algorithm evaluates several signals:
  • Relevance: How relevant the content is to the user
  • Relationship strength: Your connections see your posts first
  • Content quality: Dwell time, conversation depth
  • Predicted engagement: Probability the user will interact
A post that scores well on these signals will appear at the top of more users' feeds.

Common mistakes

1. Ignoring quality signals: Focusing only on number of interactions without looking at their quality limits your visibility. 2. Using gaming techniques: Engagement pods, engagement bait, and full automation are detected and penalized. 3. Not optimizing for depth: Short, generic comments are less valued than in-depth conversations. 4. Ignoring dwell time: Poorly structured content that doesn't hold attention is less visible. See also: Conversation Depth, Dwell Time, Comment Quality vs Quantity, Network Relevance Scoring

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