LinkedIn feed algorithm update teardown: professional signals and reputation at the forefront

AI · 6 min read

LinkedIn shifted its feed to weight professional reputation signals — endorsements, project updates, and peer citations — higher than surface-level engagement. Designers introduced richer post types for case studies and project showcases with structured fields for roles, outcomes, and links. The platform also added a 'verified contribution' badge to posts linked to published work or public evidence, nudging creators toward higher-signal content.

The UI changes included a dedicated career showcase panel and improved author profiles that made it easier to browse verified projects and collaborators. LinkedIn also modified reaction types to include domain-specific acknowledgments like 'Insightful' and 'Helpful', reducing the emphasis on quick likes. Early tests showed a drop in raw virality but an increase in dwell time on substantive posts and a rise in inbound collaboration messages.

Design implications included the need for clearer authoring workflows and templates that simplify structuring professional posts. The case highlights how platforms can reframe engagement metrics to surface higher-quality interactions, but also how such reframing requires investment in composition tools and signal verification to avoid gatekeeping good content.