LinkedIn realizes its users have been bathing in AI slop, offers a shower 57%

7/30/2026, 1:26:49 PM

BS Summary: This article contains 24 faulty reasoning types, including Biased Writer Voice, Negativity Bias, and Appeal to Emotion, with Attempt to Sell a Product or Service as the most egregious example at 27.7% saturation with 153 hits. Analysis detected 1,395 faulty-reasoning hits from 553 analyzed words, generating a BS Score of 53.9% and a BS Rank of 57% (9,555 of 22,240 articles). This article is worse (more manipulative) than 57.00% of the article peer group.

LinkedIn has been drenching its users in AI-powered slop posts, going so far as to encourage writers to trade their own voices for a bot's by hitting the "enhance your post" button when they want to share thoughts. 
Enough is enough. 
On Thursday, the site’s Chief Product Officer has announced several changes designed to rehab the platform’s reputation. 
CPO Hari Srinivasan took to the Microsoft-owned social network following reports Thursday that LinkedIn had introduced a button for users to flag posts as AI slop. 
He confirmed not only that the reports are real, but that LinkedIn had additional plans as well. 
The “Seems like AI slop” button is being added to the ellipsis menu on LinkedIn posts now, a spokesperson told us, and will be available on all posts and comments. 
Srinivasan said this button will not only allow users to report posts with sentences written like this  it will also help LinkedIn refine its AI-spotting AI models to help improve user feeds. 
In addition, the "enhance your post" button, which used AI to tweak your wording, is being replaced by an option to have AI proofread your work while leaving your voice intact, instead of stealing it like the sea witch Ursula. 
There’s been no shortage of scorn from The Register and elsewhere about LinkedIn’s rapid decline into a slop tank filled with faux thought leadership posts and generative drivel. 
As far back as 2024, reports were coming out that more than half of long-form LinkedIn posts longer than 100 words were believed to be AI generated. 
That hasn’t changed in the past two years. 
“AI slop is a top priority for all of us. 
We really care about this,” Srinivasan wrote. 
“People come to LinkedIn to connect with real people and share their real perspectives,” he said, adding that LinkedIn wants to keep it that way  or, more realistically, nudge the platform back toward its former state. 
Coincidentally or not, Originality.ai, the same AI detection site behind the 2024 report, released an updated scan of LinkedIn posts longer than 100 words on Thursday. 
According to this new report, a full 81 percent of the 5,000 posts it looked at this month were classified as likely being AI-generated. 
Srinivasan said it's not just users employing AI to generate slop  it's AI automating garbage posts and comments at scale, throughout the site. 
“Everyday we are now catching hundreds of thousands of automated comment attempts, and have blocked billions of other automation attempts (posting at scale, slop) in the last couple months alone,” the LinkedIn CPO said. 
To that end, the professional social network is also “ramping up a series of new and improved classifiers that identify if a post is AI-slop or generally low-quality content,” Srinivasan said. 
User analytics dashboards will also be getting a new feature that will tell posters when members flag their posts as potentially being AI, as Srinivasan said LinkedIn wants users “to get feedback from real humans on what sounds authentic  not just have an AI detector review it and get it wrong.” 
“AI and slop are not the same thing,” Srinivasan added. 
“Many people refine thoughts with AI, and we believe they want to know when they sound inauthentic.” 
® 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
14.3%
Representativeness Heuristic
4.3%
Hindsight Bias
0%
Overconfidence Bias
9.2%
Framing Effect
16.5%
Loss Aversion
0%
Status Quo Bias
6.7%
Sunk Cost Effect
0%
Optimism Bias
18.3%
Pessimism Bias
2.4%
Negativity Bias
25.9%
Self-Serving Bias
3.1%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
1.4%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
10.3%
False Dilemma
16.1%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
15.7%
Red Herring
0%
Bandwagon
5.1%
Appeal to Emotion
24.6%
Begging the Question
0.5%
Post Hoc (False Cause)
4.7%
Tu Quoque
0%
Burden of Proof
3.1%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
6.7%
Ambiguity (Equivocation)
1.8%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
5.4%
Quote-first Misdirection
1.8%
Biased Writer Voice
26.8%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
27.7%

553 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.