The battle against AI-generated content on LinkedIn is far from over, and the platform's latest moves to combat 'AI slop' are a testament to that. While the company's efforts are commendable, they also highlight the complex nature of this issue and the challenges it presents for social media platforms in the age of AI.
LinkedIn's recent blog post by Laura Lorenzetti, VP of Product, signals a shift in the platform's approach to content moderation. The company aims to tackle the proliferation of AI-generated posts, which have been a growing concern for users. The term 'AI slop' refers to the low-quality, often repetitive, and sometimes inauthentic content that AI models produce, sometimes with little to no human input.
The changes will target a range of problematic content, from engagement bait to recycled 'thought leadership' pieces, and other 'generic' posts that lack originality and authenticity. LinkedIn's engineers, in collaboration with its editorial team, have identified patterns in user engagement, distinguishing between content that adds value and that which merely repeats existing ideas without contributing new perspectives or expertise.
This is a significant move, as it directly addresses the issue of AI-generated content, which has been a growing concern for LinkedIn users. The platform's own AI tools, such as the 'rewrite with AI' button, have been a double-edged sword, offering convenience but also raising questions about the authenticity of the content produced.
What makes this issue particularly interesting is the paradox it presents. On one hand, LinkedIn is cracking down on AI slop, yet it continues to offer AI-assisted tools that could potentially generate similar content. This raises questions about the platform's commitment to authenticity and the potential for AI to undermine its own efforts to combat inauthentic content.
The 'em dash discourse' that LinkedIn experienced earlier this year is a case in point. The debate over the use of em dashes in AI-generated content quickly spiraled out of control, highlighting the challenges of moderating content in the age of AI. It also underscores the fact that AI models, trained on human-generated content, can sometimes mimic human writing styles, making it difficult to distinguish between AI-generated and human-written posts.
LinkedIn's initial results from its efforts to combat AI slop are promising, but the company acknowledges that the battle is far from over. The platform's ongoing commitment to authenticity and originality is a positive step, but it also raises questions about the future of content moderation on social media platforms in the age of AI. As AI continues to evolve and become more sophisticated, the challenge of distinguishing between human-generated and AI-generated content will only grow more complex.
