The algorithm recommendation of social media platforms will deliver content based on the user's browsing history, search content, and followers, and this information often carries the user's preferences and positions. Therefore, if a user is exposed to content with a specific position early on, he may see more of this content, thereby gradually solidifying his confirmation bias. This content is not necessarily divisive in nature, but if users on a certain platform like or dislike arguing, strange or seeing controversial content, the algorithm may deliver more content that arouses disgust or anger, thereby increasing user engagement and data indicators. Finally, it increases the concentration of divisive content. 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To solve this problem, social