Why Online Media Algorithms Prefer Conflict
The way an online media platform is designed influences what people notice, what they value, and eventually how they behave. Once you begin looking at technology through this lens, another question naturally follows. If digital spaces are shaping our behaviour, why do they so often seem to reward conflict over curiosity?
It’s easy to picture someone deliberately designing the internet to make people angry, but that isn’t usually how these systems work. Most algorithms aren’t trying to create division. They’re trying to predict what will keep people engaged, because attention is the foundation of the business model behind many social platforms. The longer people stay, the more advertisements they see, the more data is generated, and the more valuable the platform becomes.
Human beings are naturally drawn to disagreement, surprise, uncertainty, and potential danger. Long before social media existed, our brains were wired to notice those things because paying attention to possible threats helped our ancestors survive. Technology didn’t invent those instincts. It simply learned to recognise them.
Algorithms Learn From Us
One of the biggest misunderstandings about algorithms is the idea that they decide what people should care about. In reality, they’re constantly observing what people already respond to and using that information to predict future behaviour.
When millions of people stop scrolling to watch an argument, leave hundreds of comments on an angry post, or share something because it provokes a strong emotional reaction, the algorithm notices those signals. It doesn’t understand politics, morality, or empathy. It only recognises that certain kinds of content keep people engaged for longer, so it recommends more of the same.
Over time, those recommendations begin shaping what appears normal. Not because anyone planned for conflict to dominate the conversation, but because the system keeps reinforcing the patterns that receive the strongest response.
Small Actions Shape Big Systems
It’s easy to feel as though one person’s behaviour couldn’t possibly influence something as vast as the internet. Yet every platform is built on millions of tiny interactions happening every minute of every day. Every pause while scrolling, every comment, every share, and every click becomes another piece of information that helps the system decide what to recommend next.
Most of us contribute to that process without ever thinking about it. Collectively, though, those individual choices become trends, and trends eventually shape culture. What begins as thousands of isolated decisions gradually becomes the environment that everyone else experiences.
That’s why design matters so much. Technology doesn’t simply reflect human behaviour; it amplifies certain parts of it while quietly reducing others.
Could We Build Something Different?
If algorithms can learn that outrage keeps people engaged, they could also learn to recognise other kinds of value. A platform could choose to elevate conversations that help people understand a complex issue rather than simply react to it. Communities built around solving problems together could become more visible than communities built around conflict. Helpful contributions, thoughtful questions, and respectful disagreement could all become stronger signals than hostility.
None of those changes would prevent disagreement, nor should they. Healthy disagreement is essential in any thriving society. The goal isn’t to remove difficult conversations. It’s to create digital spaces where understanding is rewarded just as much as reaction.
The Future Is Still Ours to Design
One of the most encouraging things about technology is that none of it is fixed. Every platform we use today was designed by people, which means it can be redesigned by people. Features evolve. Priorities change. Entire industries shift when someone imagines a better way of doing things.
At Zorzle, we think a lot about that possibility. Whether we’re creating games or imagining future digital experiences, the question isn’t simply how to make something entertaining. We want to understand what behaviours people will practise while they’re using it, because those behaviours rarely stay inside the experience itself. They shape the way people communicate, solve problems, and relate to one another long after they’ve put the device down.
We have already talked about the idea that platforms teach behaviour, perhaps our takeaway today is that behaviour also teaches platforms. That relationship runs in both directions, which means the future isn’t determined by algorithms alone. It’s shaped by the choices designers make, the values communities encourage, and the countless small decisions each of us makes every time we open an app.
