Psychology
Algorithmic Curation and Political Polarization in Digital Publics
Quick fact
Studies have shown that on platforms like Facebook and YouTube, algorithmic curation can reduce the diversity of political news exposure by up to 15%, potentially deepening partisan divides without users' awareness.
Why this is interesting
You scroll through your social media feed and see endless posts that confirm your political views. But have you ever wondered why you rarely see the other side?
Read the full explanation
Understanding Algorithmic Curation and Political Polarization in Digital Publics
When you open a social media app, you rarely see everything. Instead, an algorithm selects what to show based on your past clicks, likes, and watch time. This is algorithmic curation. It is designed to keep you engaged, often by showing you content that matches your interests and beliefs. Over time, this can lead to an 'echo chamber' where you see mainly content that reinforces your views, and opposing perspectives fade away. Because your feed becomes one-sided, you may start to think that your opinions are more widely shared than they actually are, which can push you toward more extreme positions. This is how algorithmic curation can contribute to political polarization in digital publics.
A deeper explanation
The mechanism behind this is the algorithm's goal to maximize user engagement. To achieve that, it predicts what you will click on or watch. Content that triggers strong emotions—especially anger or outrage—tends to prompt more engagement, so algorithms often amplify such content. If that content also aligns with your political identity, it reinforces your existing beliefs and distances you from the 'other side.' This can lead to a feedback loop: you engage with extreme content, the algorithm learns to show you more, and your views may become more polarized. Additionally, algorithms may prioritize content with high user interaction, which often includes sensational or misleading political posts. While not all algorithmic curation leads to polarization, the combination of personalization and engagement optimization creates a powerful dynamic that shapes public opinion and can deepen divisions in society.