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Young people spend an average of 4-6 hours per day on social media platforms. Most of them have almost no understanding of how those platforms decide what they see, why they see it, and what that selection process is designed to achieve. This ignorance is not accidental. It is a design choice by platforms whose business model depends on it.
How Recommendation Algorithms Work
The recommendation algorithm is the engine of every major social media platform. It decides which posts appear in your feed, which videos autoplay next, which accounts are suggested to you. Its goal — in every case — is to maximise "engagement": the time you spend on the platform, the actions you take, the content you create.
Engagement is not a neutral metric. It correlates strongly with emotional intensity. Content that makes you angry, anxious, disgusted, or outraged is more likely to be engaged with than content that makes you reflective or calm. Algorithms trained to maximise engagement therefore systematically privilege emotionally intense content — regardless of its accuracy or its effect on the person consuming it.
The Radicalisation Pathway
Research from the Center for Humane Technology and others has documented a consistent pattern: recommendation algorithms create pathways toward increasingly extreme content. A young person who watches one video about fitness is recommended increasingly intense fitness content — and then content about body image, then about eating disorders. A young person who watches one video criticising a political figure is recommended increasingly radical political content.
The algorithm does not intend to radicalise anyone. It just knows that content slightly more extreme than what you have already consumed is more likely to hold your attention. Repeat this hundreds of times, and the cumulative effect can be profound.
Filter Bubbles and Echo Chambers
Recommendation algorithms also create filter bubbles: information environments in which you primarily encounter views that confirm your existing beliefs. This is partly because people choose to follow like-minded accounts, but algorithms amplify this effect significantly. The result is that people in different algorithmic bubbles inhabit genuinely different information realities — a precondition for many of the political divisions that characterise contemporary democracies.
What Young People Need to Understand
Media literacy education in the era of algorithmic media needs to go beyond "check your sources." Young people need to understand that what they see on social media is not a neutral window on the world — it is a carefully curated experience designed to maximise their engagement, calibrated to their psychology, and systematically shaped to keep them on the platform as long as possible.
- Teach young people to audit their own algorithm: what is it showing them? What is it hiding?
- Practice intentional media consumption: choosing what to consume rather than receiving what the algorithm serves
- Use chronological feeds where available — they show you what you chose to follow, not what the algorithm thinks will engage you most
- Take regular breaks and notice how your mood and worldview change
- Seek out perspectives the algorithm is unlikely to serve you — actively diversify your information diet
A Note for Youth Workers
This is not an argument against social media. It is an argument for digital literacy that matches the actual sophistication of the environment young people inhabit. Youth workers who understand how algorithms work can help young people develop real agency over their digital lives — rather than consuming without awareness and being shaped without consent.