A short YouTube talk explaining how LinkedIn’s automated filters evaluate posts and which content signals lower visibility. The speaker lists explicit spam triggers (profanity, nudity, contact details) and more subtle signals (tagging >5 people, using >5 hashtags, multiple links, long paragraphs), and describes an initial low/medium/high quality triage that affects distribution.
Chapters
When you first put up some content. LinkedIn's tools, their machine learning, their algorithm is scanning your posts and it's making sure that you don't have things that are considered spammy in their eyes. So what that includes is profanity, nudity, things that might be like offensive, like keywords that are flagged as like offensive. If you put your phone number, if you put your email, then there's some less obvious things like tagging more than five people using more than five hashtags, putting multiple links in your post. In addition to this there are other spam filters. So it's low quality, high quality and like medium quality, right in terms of how they're rating your content initially during the spam filter phase. So if you have nudity, profanity, whatever, it's just like low quality, you're going to get very low visibility. If you are in the medium quality it's things like the over tagging, the over hashtagging, the too many links and things like big chunky paragraphs.