Source: Unknown Source by Andrew Hutchinson. Read the original article
TL;DR Summary of LinkedIn’s New Measures to Combat Fake Engagement and Automated Comments
LinkedIn is intensifying efforts to reduce fake engagement caused by automated comments and engagement pods. The platform will now remove low-quality automated comments from the default “Most Relevant” view, limiting their visibility. Persistent offenders may face account restrictions, while auto-comments could be restricted to the commenter’s immediate network. These steps aim to improve user experience by curbing artificial activity that distorts genuine interaction.
Optimixed’s Overview: How LinkedIn Is Enhancing Authenticity by Cracking Down on Automated Interactions
Background on Fake Engagement Challenges
LinkedIn has been facing a growing issue with fake engagement tactics such as engagement pods, where groups of users artificially boost post reach through coordinated likes and comments. This behavior undermines the platform’s algorithm by pushing genuine content further down users’ feeds, reducing authentic visibility.
New LinkedIn Initiatives to Combat Automated Comments
- Automated Comment Detection: LinkedIn now identifies comments posted via third-party auto-scripts or browser plugins without human oversight.
- Visibility Restrictions: Detected automated comments are removed from the “Most Relevant” comment section, which is the default view, thus reducing their impact.
- Network Limitation: Auto-generated comments may be restricted to only appear to the commenter’s direct connections, further limiting reach.
- Account Restrictions: Users who persistently post automated comments risk having their accounts restricted to maintain community integrity.
Implications for Users and the Platform
These measures demonstrate LinkedIn’s commitment to improving the quality of interactions on its platform by targeting spammy, low-quality automated activity. While challenges remain—particularly because such engagement pods often operate outside LinkedIn’s ecosystem—the new steps mark significant progress toward ensuring that content visibility and engagement are more reflective of genuine user interest and interaction.
