Content ranking

Content ranking works by turning what LinkedIn knows about members and content into an order for the Feed.2 LinkedIn's Help Center says it uses information and engagement data about members and content to make recommendations, and presents them in an order that may be more relevant to each member.2 In May 2020, LinkedIn Engineering explained that predicted probabilities of actions such as clicks, reactions, comments and shares, expected further engagement resulting from those actions, and expected value to the creator are combined into a weighted score used to rank candidate posts.7 Its algorithms also filter out or taper distribution of low-quality and unsafe content, which means such content is shown less widely.2 A member's feed contains professional content from their network, their own shares, likes and posts, companies they follow, and other content LinkedIn believes they may be interested in.8 Recommended items may carry labels such as Trending, Recommended for you or Popular.8

Content ranking depends on signals, meaning the pieces of information the models look at, and the first group comes from the member's own profile.3 Tim Jurka wrote in March 2026 that the models consider information a member has chosen to share, such as industry, experience, skills and geography.3 They also look at how the member engages with content over time, including what they have interacted with and content they have or have not reviewed.3 On the author's side, Tim Jurka wrote in August 2025 that the ranking system factors in the author's professional identity, such as experience, content shared on their profile and skills, but not demographic information such as age, race or gender.9 He added that LinkedIn regularly checks its AI systems for unequal treatment, including whether similarly engaging posts are ranked in the same way across its members.9

Content ranking can be steered or bypassed by the member, building on the signals above.5 LinkedIn's Help Center says the Feed shows Top posts by default, personalized by the member's activity and interests, while the Recent view lists posts from people the member follows in reverse chronological order without personalization.5 Saving Most recent posts as the permanent feed view means the member's interests and activity data will not be used to sort the Feed or make recommendations.5 LinkedIn's blog said in 2017 that members ultimately control their Feed, and described tools to hide posts, unfollow people and companies, and tailor the Feed so LinkedIn knows what they want to see.10 LinkedIn's Help Center adds that following new people or companies is another way to improve the Feed.8