LinkedIn auto-generates clips and chapters from event recordings

In its EU transparency report under the Digital Services Act, LinkedIn reports a 46% increase in detected instances of inauthentic activity in the first half of 2026 compared with the second half of 2025. Named categories include engagement pods, external apps offering automated posting, and fake profiles. For users of third-party tools this means automation that manufactures engagement is increasingly being detected and acted on.

LinkedIn says more than one million members used the "seems like AI slop" report in its first two weeks. Content flagged as slop now gets around 40% fewer views than before the feature launched. Chief Product Officer Hari Srinivasan stresses that a single report does not automatically cut a post's reach; it primarily affects the feed of the member who reported it. Authors who collect many reports will start receiving a notice.

LinkedIn published a playbook on how brands should structure content to be cited by AI chatbots, framed as the "Credibility Stack". Its main points: long-form articles are cited more often than feed posts, content freshness matters, and visibility improves when the company page, employee profiles and creators publish on the same topic. LinkedIn cites third-party research ranking the platform among the most-quoted sources in AI answers.

LinkedIn no longer shows one fixed comment order to everyone: comments under a post are now ranked by relevance to each individual reader. LinkedIn cites professional interests, connections and past engagement as signals. It is also surfacing more recent discussions in the feed. The context is LinkedIn's Q2 report, which showed an 18% year-over-year increase in time spent in post comments.