Social media platforms are designed to personalize your experience, but often they get it wrong—sometimes in ways that feel disconnected from your true self. I saw this firsthand when I dove into Pinterest to plan my wedding, browsing hairstyles and decor. Even after the wedding was canceled, Pinterest kept bombarding me with bridal suggestions, as if it couldn’t keep up with the change. This issue isn’t isolated. Platforms like Meta’s Threads also suffer from similar algorithmic misjudgments, delivering content that feels out of sync with who I am today.
The Problem with Recommendation Engines
Recommendation engines—those algorithms working behind the scenes—were originally intended to help us discover content that matched our interests. While useful for things like showing recent photos from friends, these systems have evolved into marketing tools that focus more on engagement than relevance. Despite advancements in artificial intelligence, platforms still struggle to accurately interpret users’ changing interests, leading to mismatched content and skewed representations of personal identity.
Algorithms Stuck in the Past
Even with modern AI, platforms cling to outdated behaviors. After a year of inactivity on Pinterest, my feed was flooded with hairstyle suggestions intended for much older audiences. On Threads, the algorithm incorrectly classified me as someone going through menopause, filling my feed with irrelevant posts. These examples reveal how platforms often miss the mark by relying too heavily on past data instead of evolving with users’ current needs and interests.
The Burden of Fixing Algorithms Falls on Users
When platforms like Pinterest or Threads make these misjudgments, they often put the responsibility on users to correct the problem. They suggest tweaking settings, hiding unwanted posts, or giving feedback to fine-tune the algorithm. But this approach raises the question: How much control do we really have over shaping our online identities? Instead of being empowered, we’re forced to constantly monitor and adjust algorithms just to make our profiles more accurate.
What’s Next for Social Media?
These issues point to a broader shift in how we interact with social media. Instead of reflecting who we are, platforms risk shaping our sense of self with outdated or inaccurate data. For those of us who grew up with the internet, this trend has profound implications. As technology becomes more integrated into our lives, we must push for better algorithms that respect the dynamic nature of personal identity. It’s time for recommendation engines to evolve with us—rather than define us by our past.
