Professional networking platform LinkedIn has announced several updates to its main Feed, including a new artificial intelligence (AI)-powered ranking system, stricter action against automated comments, and measures to limit generic or engagement-driven posts. The company said these changes aim to make the Feed more relevant and useful for professionals while maintaining authenticity in conversations.
LinkedIn has introduced a new content ranking system powered by generative AI models. The system uses larger sequence models known as Generative Recommenders along with Large Language Models (LLMs) to better understand what posts are about and how user interests evolve over time.
According to the company, the new models analyse multiple signals to decide which posts appear in a user’s Feed and in what order.
Multiple signals analysed for recommendations
LinkedIn said the system considers several factors, including information users voluntarily share on their profiles such as their industry, work experience, skills, and geographic location. It also studies how users interact with content over time, including posts they engage with and those they ignore.
By combining these signals, the Feed can quickly adapt when users begin exploring new topics or taking part in new conversations. The company said this will help surface more relevant and timely posts, whether they come from direct connections or professionals outside a user’s immediate network.
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Crackdown on automated comments and fake engagement
Along with the algorithm update, LinkedIn is strengthening its efforts to curb inauthentic activity on the platform. The company said it is targeting practices such as automated comments, engagement pods, and the use of third-party tools designed to artificially boost interactions.
LinkedIn noted that automated comment tools and browser extensions that generate replies are not allowed on the platform. The company is strengthening its detection systems to identify and reduce such behaviour so that conversations remain genuine.
Reduced reach for engagement-bait posts
LinkedIn also plans to reduce the reach of what it calls generic or engagement-bait content in the Feed over the coming months. These include posts designed mainly to trigger comments or increase visibility without offering meaningful insights.
Examples include posts asking users to comment phrases like “Yes” if they agree, posts where unrelated videos are attached simply to increase distribution, or repetitive thought-leadership posts that provide little original perspective.
The platform said it aims to prioritise posts that deliver useful insights, such as industry analysis, professional advice, and thoughtful discussions about workplace trends.
New feature for better onboarding
Another update focuses on improving the experience for new users. LinkedIn’s Feed normally relies on profile information and past engagement to personalise recommendations, which can make the Feed less relevant initially for new members with limited activity history.
To address this, LinkedIn is testing a new Interest Picker feature during the sign-up process. This allows new users to select topics they want to see in their Feed, such as leadership, job search skills, or career growth.
LinkedIn said these updates are part of its broader effort to make the Feed a more trusted space for professional conversations and knowledge sharing. The company added that the changes are already rolling out and will continue to evolve as LinkedIn tests and refines its system.
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