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How does LinkedIn define meaningful engagement, and why do comments and saves matter more than likes on LinkedIn posts?

How does LinkedIn define meaningful engagement, and why do comments and saves matter more than likes on LinkedIn posts? On LinkedIn, not all engagement carries the same weight. A post with many likes can fade quickly, while another with fewer reactions but deeper interaction continues to spread. To understand why, it’s important to see how LinkedIn defines meaningful engagement and why comments and saves signal far more value than surface reactions. 1. What “meaningful engagement” means on LinkedIn Meaningful engagement refers to interactions that demonstrate thought, attention, and professional relevance. LinkedIn aims to promote content that sparks learning and discussion, not just acknowledgment. Engagement types that require effort provide stronger evidence of value than one-click reactions. 2. Why likes are considered surface-level signals Likes are fast, frictionless, and ...

How does X evaluate meaningful engagement — such as replies, reposts, saves, and profile visits — compared to Twitter’s older interaction model?

How does X evaluate meaningful engagement — such as replies, reposts, saves, and profile visits — compared to Twitter’s older interaction model? On Twitter, almost any interaction—likes, retweets, quick replies—was treated as a positive ranking signal. But X has rebuilt the entire engagement model from scratch, focusing on depth, intent, and authenticity rather than surface-level action counts. To understand why some posts soar while others stall, creators must learn how X interprets meaningful engagement and how it differs from Twitter’s older, quantity-driven system. 1. Engagement on Twitter vs. engagement on X: a fundamental shift Twitter’s classic engagement model rewarded volume. If users liked, replied, or retweeted a post early, the algorithm pushed the content further. The system did not deeply analyze whether the engagement was human, meaningful, coordinated, or even relevant. As a result, high...