Professional networking platform LinkedIn has announced several new changes aimed at improving its Feed experience. These changes include initiatives like an AI-based feed ranking system, strict action against automated comments, and reducing the visibility of low-quality posts or posts created solely to drive engagement. The company says that the purpose of these updates is to show more useful and relevant content to users, as well as to make the conversations on the platform more authentic and trustworthy.
AI will decide which posts will be visible
LinkedIn has introduced a new AI-based ranking system for its feed. The system uses Generative AI models and Large Language Models (LLMs) so the platform can better understand the topic of a post and the type of content users are interested in. This system will analyze a number of signals to decide which posts should be shown to a particular user. For example, information provided in a user’s profile—such as their industry, experience, skills, and location—will be taken into account. Apart from this, this system will also see which posts the users respond to and which they ignore. Based on all this data, the feed will automatically change over time to respond to the user’s changing interests.
Strict action against automated comments
LinkedIn has also taken steps to stop the growing trend of fake engagements on its platform. The company is now cracking down on tools and browser extensions that automatically generate comments to artificially increase conversations on posts. According to the company, such automated commenting tools violate the platform’s terms of service. As a result, systems are being further strengthened to detect and prevent such activities, ensuring that conversations remain genuine.
Visibility of “engagement-bet” posts will be reduced
LinkedIn has further announced that, from now on, it will limit the reach of posts that are created just to get likes, comments or shares. Examples include posts that prompt users to provide a specific response—such as typing “Yes” if they agree with something—or posts that add videos without any connection simply to artificially increase their reach. Similarly, posts that repeatedly share similar or repetitive ideas may also lose visibility in the feed. The company says priority will now be given to posts that include industry-related information, professional advice, or useful workplace discussions. Other than this
A better experience for new users
LinkedIn has also introduced a new feature to improve the experience for new users. Generally, the platform relies on the user’s past activities and profile data to customize their feed. However, new users initially have such limited information. Therefore, an “Interest Picker” feature is currently being tested during the sign-up process, allowing users to select topics of interest to them—such as leadership, job search skills, or career advancement.
