# Mechanism by which social media algorithms push divisive content Social media algorithms may indeed inadvertently amplify divisive content, leading to antagonism between social groups. Here are some common mechanisms： ## Main method 1. **Information cocoon room/filter bubble**: The algorithm pushes similar content based on the user's past behavior to strengthen existing views 2. **Emotional trigger optimization**: Strong emotional content such as anger and indignation gets more interaction, so it is prioritized by the algorithm. 3. **Polarized content amplification**: Extreme views are easier to click and share than moderate views 4. **Formation of opposing groups**: The algorithm clusters users into groups with similar ideas to reduce cross-group communication ## Specific mechanism -**Interaction volume is preferred**: Controversial content generates a large number of comments and shares, and the algorithm improves its visibility as a result. -**Fast feedback loop**: The algorithm is adjusted in real time to quickly amplify the content that can trigger a strong response -**Title party optimization**: Simplified and polarized titles are easier to get clicks It is worth noting that the purpose of understanding these mechanisms should be to improve algorithm design and promote a healthier online discussion environment, rather than using them to create social division. Many platforms are working hard to adjust their algorithms to reduce these negative effects.