Jude Costa

AI & Tech Business

Understanding How LinkedIn Algorithm Works in 2024 Part 1

LinkedIn, in the vast realm of social networks, stands out as a unique entity, primarily due to its distinctive algorithm designed to thwart the viral spread of content. Yes, it may sound surprising, but the LinkedIn algorithm is meticulously crafted to foster connections based on the most pertinent professional advice and expertise. In contrast to platforms where content is often tailored for entertainment, LinkedIn’s recent algorithm updates underscore the significance of showcasing your own expertise. It is time you and me delve into the intricacies of navigating this algorithmic landscape in 2024.

Deciphering the LinkedIn Algorithm

At its core, the LinkedIn algorithm functions as a recommendation system, curating posts for individual users based on topics, people, and post types that align with their likely engagement. With over 950 million members and counting, the algorithm sifts through billions of daily posts, striving to make each user’s newsfeed as compelling and informative as possible. The ultimate aim is to prioritize high-quality, relevant content and encourage user engagement, making the algorithm more responsive to your presence the more time you invest in the platform.

Contrary to other social networks, LinkedIn isn’t the arena where your content is expected to go viral. Instead, it’s a space dedicated to sharing knowledge and updates with individuals genuinely interested in the information, utilizing it to propel their professional journeys.

Decoding the Algorithmic Mechanism

Distinguishing Spam from Quality Content

The algorithm initiates its journey by categorizing your post, assessing whether it violates spam guidelines or community policies. Clear-cut spam examples, such as engagement-boosting emoji polls or chain letters, get filtered out. For ambiguous content types, human review becomes the deciding factor. Once the content passes this scrutiny, it remains visible on the platform.

Subjecting Your Post to the Litmus Test

Assuming your post clears the spam hurdle, the LinkedIn algorithm closely monitors engagement signals to gauge the value of your content within your immediate and extended networks. Recent algorithm changes emphasize meaningful engagement, valuing thoughtful comments from relevant professionals over generic interactions.

Delivering Your Valuable Content to the Right Audience

The fate of your post hinges on three ranking signals: identity, content, and member activity. The 2024 algorithm tweaks ensure that your first-degree connections see more of your content. Factors such as your relationship proximity, skills, and profile location come into play. Content relevance is determined by analyzing views, engagement frequency, topic relevance, knowledge-sharing, language, and the professionalism of the comments section. Member activity reflects user interests based on their interactions with groups, hashtags, pages, and individuals.

Unveiling Recent Algorithmic Changes

In a landmark announcement in June 2023, LinkedIn unveiled significant algorithm changes driven by user feedback. These changes aim to achieve two primary goals: surfacing more knowledge-sharing content and strengthening connections among individuals who already know each other. In practical terms, this means your content is most likely to be seen by those in your network, especially for personal and professional updates.

To extend beyond your connections, your content must contribute valuable knowledge, advice, or insights. LinkedIn’s algorithm will then surface such content based on individual interests and skills.

To be continued in part 2

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