Algorithm is a double-edged sword, used well, it is an accelerator for the development of the digital society; If not used properly, it may also become a destroyer of the online ecosystem. How to manage algorithms and avoid risks such as privacy leaks, "big data killing", "algorithm discrimination", and "information cocoons" caused by algorithms has attracted widespread attention in society. Experts believe that recent algorithmic governance practices have shown that guiding algorithms with correct values requires joint efforts from individuals, practitioners, industry organizations, and management departments. Only when I understand the algorithm can I use the algorithm "Hello, I have browsed this short video three times and liked it for collection. Please remember me and push me more such content..." In a short video comment area, Zhu Zhen, the product manager of an Internet company in Beijing, wrote such a message. Although it seemed like a joke, shortly after leaving the message, the effect was immediate. She demonstrated to the reporter - sure enough, she came across many similar videos later on. "In the algorithm mechanism, comments are a big bonus. If you leave a comment in the comment section and the keywords are all 'positive', it will lead the platform to increase recommendations." Zhu Zhen said that for individual users, if they want to use the algorithm well, they must first understand the algorithm. Consciously increasing or decreasing browsing time, liking, leaving messages, etc. are all ways for users to communicate with algorithms. Zhu Zhen candidly stated that as a control mechanism hidden at the bottom of the platform, the complex and ever-changing computational principles of algorithms are difficult for users to understand. But one can understand the basic logic of the algorithm: first, record user operation behavior; The second is to analyze whether the operational behavior is "positive" or "reverse"; The third is to recommend "forward" and avoid "reverse". By understanding this logic, one can roughly understand how to deal with algorithms. Li Huan, a college student majoring in computer science, has some experience in using algorithms. She has registered for both large and small accounts on several commonly used online platforms. "The large account is used to browse daily information, and the small account is used to handle personal information. On the small account, I try to avoid liking, posting status, and commenting to reduce my" digital traces ". At the same time, I can avoid logging in without logging in to my account, as much as possible to avoid privacy leakage. Li Huan also uses algorithms to" hide and seek ":" Every time I come across content that I don't want to see on the homepage, I quickly swipe it. ". At the same time, it is necessary to consciously use functions such as' not interested 'and' not recommending similar content ', and set behavioral preferences autonomously to' reverse train 'the algorithm Li Huan believes that besides knowing how to guide algorithms, improving self-control is also very important. "When interested information is widely recommended, only by learning to moderate moderation, planning usage time reasonably, and collecting a wide range of information can we truly master algorithms." Duan Weiwen, a researcher at the Institute of Philosophy of the Chinese Academy of Social Sciences, believes that for individuals living in the digital age, they should learn to self adjust and take the initiative to explore the digital world, rather than being overwhelmed by fragmented information, Even addicted to digital entertainment and unable to extricate oneself. Only with self-discipline can there be a good ecosystem in the industry, although improving personal digital literacy can help to master algorithms. But relying solely on individuals is far from enough. A survey shows that only about 60% of users believe that the behavior of personal guided algorithms is effective