My inspiration comes from the collision of information on the Internet. On the Internet, information is cluttered, but search engines and social software can regularly categorize cluttered information, and these classifications piqued my curiosity. According to my continuous exploration, I found that it is the same as the entropy of the universe. The larger

the entropy value, the more confusing the information. The smaller the entropy value, the more regular the information. Nowadays, a large amount of information is spread in social networks every day, but the information itself has no high value, such as some remarks, which are contradictory after reading. Such a result will cause very huge information interference, making it difficult for readers to grasp the accuracy of the information. So the media will use some rules to reduce everyone’s entropy. My work explains information entropy in a simpler way. Let ordinary people understand how social media works through games.