Unreasonable differential treatment is implemented through big data "killing" and algorithms are used to induce users to indulge in the network and consume excessively... At present, algorithm technology is widely infiltrated into Internet applications, which not only brings a certain degree of convenience to users, but also infringes on users' rights and interests caused by algorithms. Algorithm recommendation refers to the use of technologies such as generating synthetic classes, personalized push classes, sorting and selection classes, retrieval and filtering classes, scheduling and decision-making classes to provide information to users. Recently, the state network information office and other four departments issued the regulations on the management of Internet information service algorithm recommendation, which put forward clear requirements for the problems that have been criticized for a long time. How to solve the "killing" of big data? No differential treatment shall be applied For the same delivery time, place, order and takeout platform, members pay more than non members; At the same time, users have found that regular customers charge higher for a taxi platform when they take the same type of car to the same destination at the same place. At present, more and more enterprises use big data analysis to evaluate consumers' personal characteristics for business marketing. However, some enterprises use personal information to "kill" big data, make differential pricing for different groups, and implement "price discrimination". It is proposed that if an algorithm recommendation service provider sells goods or provides services to consumers, it shall protect consumers' right to fair trade, and shall not use the algorithm to implement illegal acts such as unreasonable differential treatment on trading conditions such as trading prices according to consumers' preferences and trading habits. In October last year, more than 20 app operating companies such as Tencent and Huawei promised to strictly abide by the user's personal privacy boundary, protect the user's right to fair trade, and do not use big data to "kill the ripe". Zuo Xiaodong, vice president of China Information Security Research Institute, believes that persistent diseases such as "killing ripe" of big data are ultimately caused by the abuse of users' personal information. To solve such problems, we should first make efforts to deal with illegal collection of users' personal information, and secondly protect users' rights and interests such as the right to choose and delete. For example, it is necessary to provide users with options that are not specific to their personal characteristics, or provide users with a convenient option to turn off algorithm recommendation service, and provide the function of selecting or deleting user tags specific to their personal characteristics. Induce users to indulge and consume excessively? Promote the application of the algorithm to the good Setting up an algorithm model to induce users to indulge and consume excessively has become a highly criticized phenomenon of online consumption and entertainment. "If you can't play some games, it will put some water on you, causing you to stop like poisoning; or if you browse a product repeatedly, it will show a discount of 20% off two items and 75% off three items, so that you can buy as much as possible." He Yanzhe, deputy director of the Evaluation Laboratory of the network security center of China Institute of electronic technology standardization, said. It is proposed that the algorithm recommendation service provider shall regularly review, evaluate and verify the algorithm mechanism, model, data and application results, and shall not set up algorithm models that induce users to indulge and consume excessively, which violate laws and regulations or violate ethics. Wang Limei, a professor at the data rule of Law Research Institute of China University of political science and law, believes that algorithm recommendation service providers should adhere to the basic requirements of mainstream value orientation and promoting upward and good application of algorithms. It is stipulated that algorithm models such as inducing users to indulge and consume excessively shall not be set, which is the embodiment of implementing the concept of science and technology for the good into specific business requirements. "The regulations put forward that in order to prevent such situations, relevant enterprises need to do a good job in the evaluation of the algorithm and make a comprehensive analysis from the perspectives of the logic of algorithm recommendation, user groups, browsing and consumption behavior." He Yanzhe suggested that in order to prevent addiction or excessive consumption caused by the algorithm, if necessary, a third party should be introduced for evaluation and evaluation to ensure the neutrality of the evaluation. How does brushing quantity control and evaluation affect network public opinion? Ensure that the algorithm is open and transparent Use the algorithm to register false accounts, hire network "water army", implement false traffic fraud such as praise and forwarding, or encourage "rice circle" fans to tear and abuse each other and brush quantity control comments; Shielding information, excessive recommendation, manipulating search, list or search result ranking... Some algorithm recommendation service providers still affect network public opinion when carrying out personalized recommendation, hot list, information release and other activities. According to the regulations, the algorithm recommendation service should follow the principle of openness and transparency, and encourage algorithm recommendation service providers to comprehensively use strategies such as content de duplication and breaking up intervention to optimize the transparency and interpretability of rules. Establish and improve management systems such as algorithm mechanism review, science and technology ethics review, user registration and information release review. It is not allowed to use algorithms to manipulate lists, control hot search and other intervention information presentation. "We have been trying to solve the problems of microblog, such as the interference of brush volume, brush list, control and evaluation, distortion of real user voice and information dissemination." The person in charge of microblog admitted that behind the repeated prohibition of these problems, it is also difficult to find the behavior of real people brushing the list, and it is difficult to technically prohibit the relevant black and gray products that have formed a complete industrial chain. Wang Xinrui, partner of Shihui law firm, believes that the regulations require the network platform to inform users of its provision of algorithm recommendation services in a significant way, and require platforms with public opinion attribute or social mobilization ability to record the relevant information of algorithms, Through this way of "general disclosure + partial filing", we can solve the practical problems and common concerns caused by the opacity of the algorithm. How to protect the rights and interests of minors and other special groups? Refinement to meet the demands of different groups In recent years, some apps have been exposed one after another to spread children's soft pornographic expression packs and use minors' sexual cues for short video drainage, which has seriously damaged minors' physical and mental health and affected the network communication order. "The Internet has brought a new way of life to minors, and has also produced the problem of minors' network protection." Lin Wei, vice president of the University of the Chinese Academy of Social Sciences, believes that minors have the characteristics of weak cognition and judgment, and their values have not yet taken shape. Too targeted algorithm push content may lead to various adverse effects and addiction to the Internet. In this regard, it is proposed that algorithm recommendation service providers shall not push information that may cause minors to imitate unsafe behaviors, violate social ethics, induce minors' bad habits and other information that may affect minors' physical and mental health, and shall not use algorithm recommendation service to induce minors to indulge in the network. In addition, in view of the problems that some platforms do not fully consider the aging needs of the elderly, the regulations also require that if algorithm recommendation service providers provide services to the elderly, they should protect the rights and interests of the elderly according to law, fully consider the travel, medical treatment, consumption, affairs and other needs of the elderly, and provide intelligent aging services in accordance with relevant national regulations. Experts pointed out that with the increasing diversification, foundation and popularization of Internet information services, the refined and focused provisions to meet the interest demands of different groups will better protect the rights and interests of minors, the elderly, workers and other groups, and guide the application of algorithms to abide by social ethics and ethics, business ethics and professional ethics. How to implement supervision? Strive to improve the governance system At present, new technologies and applications such as algorithms have become an important force to promote the digital transformation of enterprises and the modernization of national governance capacity. Experts believe that the regulations are conducive to establishing and improving a scientific regulatory system, coordinating all parties to establish a complete institutional chain, and forming a long-term mechanism for algorithmic governance. "Prior supervision, establish the system of algorithm filing and algorithm evaluation; distinguish supervision, establish the idea of classification; systematic supervision, and establish the situation of multiple co governance." Wang Aihua, deputy chief engineer of China information and Communication Research Institute, believes that the regulations strive to improve the governance system, realize the whole process and whole chain supervision in advance, during and after the event, and enhance the systematicness and authority of supervision by optimizing the regulatory framework. Wei Xin, chief lawyer of Xinghan law firm, believes that at present, the application of algorithm technology is becoming more and more extensive, the supervision of algorithm needs to keep up, and various operable rules need to be formed in the specific implementation process in the future. "As a new technology model, algorithm recommendation faces some new technical security, application security and even ethical security risks." Yang Jianjun, Party Secretary of China Institute of electronic technology standardization, suggested that in order to support the implementation of regulations, it is urgent to strengthen the construction of algorithm security technology capacity, build platforms such as algorithm recommendation service filing, algorithm security assessment and algorithm security risk monitoring, and improve the supervision ability of algorithm recommendation technology. (Xinhua News Agency)