The push of divisive content through algorithmic recommendations on social media platforms may lead to fierce confrontations between social groups in the following ways: 1. **Echo chamber effect**: Algorithms push content similar to existing views based on users' browsing history and interaction behaviors. This echo chamber effect exposes users to a single perspective, thereby deepening existing biases and intensifying group confrontations. 2. **Extreme content priority**: Algorithms often prioritize pushing content that can trigger strong emotional reactions. These contents are usually more extreme and controversial, in order to attract users to click and interact, thereby increasing platform engagement and advertising revenue. 3. **Personalized recommendations**: Through personalized recommendations, algorithms push different content to different users to cater to their interests and preferences. However, this may lead to the segmentation of social facts, causing different groups to have completely different understandings and interpretations of the same event. 4. **Viral transmission mechanism**: Controversial or inflammatory content is more likely to spread quickly on social media, and the geometric diffusion process can intensify the confrontation between groups. 5. **Tag and topic guidance**: Some platforms use tags and topics to guide users to participate in discussions. Algorithms may prioritize the presentation of extreme content related to a specific tag, thereby creating or intensifying controversy. 6. **Biased filtering**: Algorithms may filter out information that is inconsistent with users’ views based on their preferences, making it impossible for users to be exposed to diverse voices, further exacerbating the polarization of understanding and views. 7. **Social validation bias**: When users see friends or similar groups actively interact with certain content (such as likes or shares), they are more inclined to believe in the authenticity and importance of the content, thus forming group thinking. 8. **Participation mechanisms that fuel the flames**: The interactive mechanisms designed by some platforms (such as voting and comments) can be used to deliberately incite opposing positions and attract heated debates between the two factions. To mitigate these effects, platforms can consider optimizing algorithms, increasing exposure to diverse information, improving content review mechanisms, and providing users with more media literacy education.