John Cutler Questions Algorithm’s Role in Content Visibility on Social Platforms

In a recent LinkedIn post, John Cutler discusses the perplexing nature of content visibility on social media platforms, particularly those with a prominent ‘L’ and ‘N’ in their name. Cutler, a keen observer of digital communication, raises questions about how algorithms influence what users see and when content truly resonates.

The Puzzle of Content Resonance

Cutler begins by posing a fundamental question about how content that genuinely connects with an audience navigates the digital landscape. He notes the perceived rarity of content breaking through the algorithmic noise, stating:

You would think that that something that resonates would somehow “break through”. It happens so rarely these days (for me at least), than when it seems to be happening I pay attention.

As Cutler points out, the instances where content appears to gain traction are noteworthy precisely because they deviate from the norm. This suggests that organic reach and genuine engagement might be less predictable than often assumed, even for content that seems poised for success.

Algorithmic Limits and Unexpected Success

The author further delves into the complexities by exploring instances where content that might be expected to perform well, for whatever reason, does not. This leads him to hypothesize about the interplay between algorithmic curation and the inherent qualities of the content itself.

Cutler shares a personal theory regarding a specific post he made, which he describes as a:

My theory: this bit of sitting-at-the-climbing-gym-with-my-seven-year-old hot take post “succeeded” despite the algo, but hit hard limits.

In Cutler’s view, this particular post may have achieved a degree of success not because of, but perhaps in spite of, the platform’s algorithms. However, he suggests that even this success encountered unforeseen ceilings, indicating that algorithms can both hinder and limit the ultimate reach of content, regardless of its perceived quality or resonance.

Analyzing the Algorithmic Black Box

Cutler’s analysis prompts a broader discussion about the ‘black box’ nature of social media algorithms. While these systems are designed to personalize user experiences and surface relevant content, their inner workings remain opaque to many users and creators. The puzzle Cutler presents highlights the tension between the desire for content to be seen and the often-unseen forces that dictate its visibility.

He questions the underlying assumptions about how algorithms are supposed to function, particularly when content that seems intuitively likely to succeed fails to do so. As Cutler observes:

But then when it doesn’t, it gets even more curious.

This curiosity, according to Cutler, is a valid response to the unpredictable nature of algorithmic distribution. It suggests that creators and observers alike are still seeking to understand the true mechanics behind content success in the current digital environment. His insights encourage a more critical examination of the platforms we use daily and the invisible hands that shape our digital consumption.