LinkedIn is getting more aggressive about cleaning up its feed as concerns around automation, fake engagement, and low-value AI-generated content continue to grow. The professional network reported a sharp rise in detected inauthentic activity during the first half of 2026, suggesting that LinkedIn inauthentic activity crackdown is putting more effort into identifying behaviour that makes posts look more popular or influential than they really are.
According to LinkedIn’s latest European Union Digital Services Act reporting, detected instances of inauthentic activity increased 46% in the first half of 2026 compared with the second half of 2025. That increase does not necessarily mean fake activity itself jumped by the same amount. LinkedIn has also improved its systems for spotting suspicious behaviour, which means the platform may simply be catching more of it.
LinkedIn Is Detecting More Inauthentic Activity
LinkedIn’s latest figures show that inauthentic activity is becoming a bigger enforcement priority. The platform is paying closer attention to coordinated engagement, automated comments, fake profiles, and other tactics designed to manipulate visibility. LinkedIn has said it uses a mix of technology and human review to identify suspicious behaviour, and when those systems find manipulation, the platform can reduce the reach of the content involved.
That matters for creators, marketers, and business users who rely on LinkedIn for visibility. Artificial engagement may still create impressive-looking numbers in the short term, but LinkedIn is becoming less willing to allow those signals to influence what appears in the feed.
Engagement Pods Are Becoming Riskier
Engagement pods are one of the clearest targets in LinkedIn’s authenticity push. These groups usually coordinate likes and comments shortly after members publish a post, hoping that the sudden activity will encourage LinkedIn’s algorithm to distribute that content more widely.
LinkedIn considers that type of coordinated activity inauthentic. The company has already taken action against groups showing signs of engagement-pod behaviour and has warned users suspected of participating in them. In some cases, those actions can go beyond reduced reach and may affect account standing or participation in LinkedIn programs such as Top Voices.
That changes the risk involved. A handful of predictable comments from the same accounts may still increase visible engagement, but those repeated patterns can also make manipulation easier for LinkedIn to identify.
Automated Comments Are Also Under Pressure
Automated commenting has become another major concern for LinkedIn. Browser extensions, scripts, and third-party tools can generate and publish comments at scale, making an account appear active without the person behind it genuinely participating in those conversations.
LinkedIn says comments posted automatically without direct human action are not allowed. When the platform detects this kind of activity, those comments may lose visibility in the “Most Relevant” section and may receive less distribution outside the commenter’s immediate network. Accounts that repeatedly rely on automation may also face additional restrictions.
The problem is not difficult to understand. Automated comments can make a post look active while adding almost nothing useful to the discussion. They also weaken the quality of conversations, particularly when the same generic responses appear again and again across different posts.
LinkedIn Is Taking Aim at AI Slop
LinkedIn is also paying more attention to low-effort AI-generated material, often described as AI slop. The company is not banning artificial intelligence from the platform, and it has acknowledged that people can use AI to help draft or improve content. The concern is what happens when users flood the feed with generic material created primarily to generate attention.
LinkedIn is trying to distinguish between AI-assisted content that includes a real point of view and mass-produced posts that offer little original value. The platform says its systems can detect repetitive and generic content, including comments that simply restate the original post without contributing anything meaningful.
In testing discussed by LinkedIn earlier this year, the company said its systems were correctly identifying generic content 94% of the time. Material that falls into that category may receive less distribution, particularly beyond the author’s immediate network.
LinkedIn Wants the Feed to Feel More Human
The broader goal appears to be a LinkedIn feed that feels less manufactured. The company has been updating its recommendation systems and using larger language models to better understand what posts are actually about and which users may find them relevant.
At the same time, LinkedIn is reducing the visibility of recycled content, generic posts, and obvious engagement bait. That means a post with hundreds of coordinated reactions may not receive the same algorithmic advantage if LinkedIn believes the engagement is artificial.
A smaller post built around genuine expertise could end up performing better if the platform considers it useful to a specific professional audience. That is a very different direction from rewarding sheer activity or raw engagement numbers.
LinkedIn Adds 1.4 Million Active EU Users
LinkedIn’s latest transparency reporting also gives a clearer picture of how many people are actively using the platform in Europe. During the first half of 2026, LinkedIn added around 1.4 million active users in the European Union, bringing its active EU audience to approximately 56.5 million.
That figure is useful because LinkedIn typically promotes total membership rather than active user numbers. The platform now reports roughly 1.3 billion members globally, but membership and regular usage are not the same thing.
Social Media Today estimates that if the same EU activity ratio were applied globally, LinkedIn could have around 433 million monthly active users. That figure is an estimate rather than an official number from LinkedIn, so it should be treated as an approximation rather than a confirmed global user count.
Why LinkedIn’s Crackdown Matters for Creators and Brands
For creators, marketers, and businesses, the biggest takeaway is that more activity does not automatically mean better performance. Posting more often, commenting everywhere, or joining engagement networks could become less effective as LinkedIn improves its ability to detect artificial patterns.
AI can still be useful in the content process, but the finished post needs to offer something that feels specific and real. That could be personal experience, professional insight, a strong opinion, original analysis, or a lesson drawn from actual work.
Brands face the same pressure. A steady stream of polished but interchangeable thought-leadership posts may struggle if LinkedIn becomes more confident at identifying material that adds little value.
The irony is that as AI becomes more common on LinkedIn, the ability to sound genuinely human could become even more valuable.
LinkedIn’s Authenticity Push Is Likely to Continue
LinkedIn has strong reasons to keep tightening its rules around inauthentic behaviour. The value of the platform depends heavily on trust. Recruiters need confidence that profiles represent real candidates, professionals want to interact with genuine people, and brands need engagement metrics that are not inflated by bots or coordinated groups.
Verification is also becoming part of that effort. LinkedIn says more than 100 million members have added at least one verification to their profiles, while the company continues expanding verification across different parts of the platform.
The fight against fake engagement is unlikely to disappear. Automation tools and generative AI will continue improving, and new tactics will keep emerging. LinkedIn’s response appears to be focused on shifting the advantage away from manufactured activity and toward useful contributions from identifiable people.
Sources
Social Media Today — LinkedIn increases push against inauthentic activity
https://www.socialmediatoday.com/news/linkedin-increases-push-against-inauthentic-activity/829385/
LinkedIn — What We’re Doing to Support Authentic Content and Conversations on LinkedIn
https://news.linkedin.com/2026/authentic-content-and-conversations