LinkedIn Cracks Down on AI-Generated Content
· news
The Slop Wars: LinkedIn Tackles AI-Generated Drivel
LinkedIn’s efforts to curb the proliferation of AI-generated content on its platform are a welcome development, but they also raise questions about the company’s own role in perpetuating this problem. According to Laura Lorenzetti, Vice President of Product, the measures aim to reduce the visibility of posts that lack authenticity and originality.
The targeted types of content include engagement-bait, recycled “thought leadership,” and generic posts that regurgitate existing ideas without adding anything new. However, LinkedIn is simultaneously promoting its own generative AI tools, including a prominent “rewrite with AI” button in the post composer. This dichotomy highlights the industry-wide conundrum: can you have your cake (or in this case, your AI-generated content) and eat it too?
LinkedIn’s attempts to draw a line between AI-assisted content and outright slop are admirable but ultimately futile if not paired with genuine efforts to address the root causes of this issue. The platform’s struggles mirror those of its peers in the social media landscape. The recent AI-slop phenomenon has led to an explosion of self-proclaimed “experts” peddling their wares on LinkedIn, further polluting the feed.
However, it’s easy to forget that these same platforms have long been guilty of fostering environments where shameless self-promotion and borderline spam thrive. The true challenge lies not in detecting AI-generated content but in creating an ecosystem that genuinely rewards high-quality contributions. This requires more than just tweaking algorithms or introducing new moderation tools; it demands a fundamental shift in how we consume and engage with online content.
LinkedIn would do well to take a hard look at its own role in perpetuating this problem – including the proliferation of AI-generated content through its own tools. By acknowledging the tension between its anti-slop crusade and its own reliance on AI-assisted writing, LinkedIn can begin to build a more sustainable future for its users.
The weeks and months ahead will be telling – not just for LinkedIn but for the entire social media landscape. As AI-generated content continues to evolve, platforms like LinkedIn have a unique opportunity to redefine what quality engagement looks like online. Will they seize it, or will we continue to drown in a sea of slop?
Reader Views
- CSCorrespondent S. Tan · field correspondent
The AI-generated content conundrum on LinkedIn highlights the platform's hypocrisy in tackling "slop" while promoting its own generative tools. But let's not forget that the root issue isn't just AI-borne spam – it's a culture of clickbait and self-promotion that platforms like LinkedIn have enabled for years. Until these ecosystems fundamentally shift their priorities towards quality over quantity, tweaks to moderation will only scratch the surface.
- CMColumnist M. Reid · opinion columnist
LinkedIn's effort to police AI-generated content on its platform is a step in the right direction, but it's a symptom of a larger problem: the commodification of expertise. By promoting their own generative tools alongside anti-slop measures, LinkedIn creates a confusing narrative that dilutes the value of genuine human contributions. To truly curb the spread of AI-slop, platforms must address the economic incentives driving users to produce low-quality content. As long as these systems prioritize clicks and engagement over substance, we'll continue to see the proliferation of "experts" peddling shallow insights.
- RJReporter J. Avery · staff reporter
LinkedIn's AI-generated content crackdown is a step in the right direction, but let's not lose sight of the fact that the company's own tools are perpetuating this problem. The "rewrite with AI" feature essentially enables users to submit content that could be generated by a lowly undergraduate student, masquerading as thought leadership. To truly address the issue, LinkedIn should focus on promoting quality over quantity and incentivize meaningful contributions rather than just tweaks to their algorithm.