Algorithms That Shape What You See
The systems that shape what you see online, what you are recommended, and how opportunities are allocated to you are increasingly AI-driven. Understanding them is a form of civic literacy.
What algorithms do
The social media feed you see is not chronological — it is ranked by an algorithm that predicts what will maximise your engagement. The ads you see are selected by an algorithm that predicts your likelihood to click or buy. The news articles that surface to you are shaped by algorithms that have learned what you tend to read.
The engagement optimisation problem
Social media algorithms are optimised for engagement — time on platform, clicks, shares, reactions. Research has consistently found that content that provokes strong emotions (especially outrage, fear, and indignation) drives more engagement than calm, nuanced content. This creates a structural bias in the information environment that has significant social consequences.
Filter bubbles and echo chambers
Recommendation algorithms tend to show you more of what you have engaged with before. Over time, this can narrow the range of perspectives you encounter — not through any deliberate censorship, but as an emergent consequence of personalisation at scale. The research on how severe this effect is remains contested, but the mechanism is real.
What you can do
- Actively seek out sources with different perspectives
- Notice when content is provoking a strong emotional reaction and slow down
- Use chronological feeds where available
- Be aware of what the algorithm is optimised for — it is not your wellbeing
The algorithms shaping your information environment are not neutral. They are optimised for business metrics that do not necessarily align with your interests or the health of public discourse.