LinkedIn’s Collaborative Articles have gotten a lot of attention as of late. In fact, Collaborative Articles have become so popular that LinkedIn reports that it is now their fastest-growing traffic driver. On that note, users can look forward to some new LinkedIn Collaborative Articles insights, which will help them further maximize the feature.
Insight For Soar Eyes
LinkedIn launched Collaborative Articles in March of this year, using AI-generated prompts as a starting point for posts. Later down the line, LinkedIn put out a call to select LinkedIn users, asking them to share their expertise on chosen topics. The idea was that doing such would allow LinkedIn to better harness the in-app expertise of users. At the same time, LinkedIn could reward consistent Collaborative Article contributors with a unique profile badge, further highlighting their expertise.
To set the record straight, you do not need to be an expert in any field to get the badge. The minimum requirement is to contribute to Collaborative Articles. With that, you can surmise why users would want this type of recognition. New LinkedIn Collaborative Articles insights further help profiles stand out.
Given that, it makes sense for people to want to contribute. However, do other users actually want to read these multi-perspective posts? According to LinkedIn, they do. LinkedIn reported in a new post that Collaborative Articles made a 74% month-over-month increase.
“It’s been just over six months since the launch of collaborative articles. We’ve celebrated our one-millionth expert contribution, and it’s clear that more and more members are turning to expert answers as their guidebook for work-related challenges.”
Whether or not users truly seek out Collaborative Articles, the stats do not lie, which highlights an underlying value. The full post tackling the topic on LinkedIn’s Engineering Blog, looks at the various considerations factored into the creation of the Collaborative Articles process. That includes how the system chooses which “Expert” to prompt for their input in each post.
According to LinkedIn:
“An integral part of this infrastructure was recognizing real experts, which was harder than it seemed. Though we’re equipped with many direct and indirect signals to gauge a member’s skill proficiency, there’s also a lot of noise. Some of these signals have low coverage, while others have low precision. Ultimately, signals that worked reasonably were a combination of explicit skills – skills on profiles, skill endorsements from others, recent job titles – and implicit skills, which are inferred based on recent hires for job postings or a member’s self-evaluation during job applications.”
The Wrap
In addition, the process includes a user’s likelihood of making an original contribution based on their LinkedIn posting history. It at least seems that there is a level of qualification for participating contributors. Only active and knowledgeable members receive invitational prompts. These are some interesting notes that could be worth considering. Would you want a “Top Contributor” badge? If so, then check out the new LinkedIn Collaborative Articles insights as soon as you can!
Please note:
This action will also remove this member from your connections and send a report to the site admin.
Please allow a few minutes for this process to complete.
