Value of Mass Media in Food Safety Information Disclosure from the Perspective of Big Data: The advent of big data infrastructure has promoted the development of media forms and content. Food safety information disclosure (FSID) is an effective solution to regulate food safety issues. The mass media, government regulatory agencies, and food companies jointly participate in the disclosure of food safety information. Due to social responsibilities and common interests, a tripartite game relationship is formed. After an evolutionary game model was established with China as an example, the mass medias participation in food safety information disclosure can affect the publics decision-making, and true disclosure can promote the process and effectiveness; however, false disclosure will have adverse effects on all three parties. The application of big data technology doubles the positive and negative effects. Therefore, the government needs to strengthen the supervision of the mass medias participation, and food companies need to actively provide correct disclosure information. The media should strengthen their management and use big data rationally, formulate corresponding disclosure strategies, and coordinate the three parties to promote food safety information disclosure.

Product market competitiveness is positively influenced by the aesthetic value of product form, which is closely related to product complexity. By measuring the cognitive complexity of the product, this research establishes the relationship between the complexity and aesthetics of the product using an artificial neural network. Hence the prediction of product beauty is achieved, which guides design decisions. In this article, the complexity of product form is first measured through a combination of hesitant‐fuzzy theory and information axiom. Afterward, the result is weighted by exponential entropy and dimensionally compressed. This method makes data more suitable for the prediction with small samples, obtaining an accuracy improvement of up to 40% compared with traditional approaches. Finally, the importance order of the design elements which affect morphological complexity is acquired. Results show that three of the six complexity features (element number, object intelligence, and object detail) are more significant, impacting the aesthetic feeling of product form. The method increases the attractiveness of products to customers, providing valuable design support for enterprises and designers in the early days when a new product is designed, and reducing research and development risks.

Health QR code is an Internet product designed and developed by China to combat the COVID-19 pandemic. In order to build a public health and epidemic prevention barrier, the Chinese government’s health QR code product is a useful attempt to deal with epidemic prevention and control and social governance in the way of “Internet plus big data”. In the process of health QR code product design and development, we conduct a security analysis of information data and employ project management, product design, development and testing, online, and operational product experience design methods. User requirements and product definitions for the health QR code include management, design, development, and testing. The main participants of health QR code product experience design are divided into product manager, design and development team, and users. The relationships among the product manager, the design and development team, and users are established using the evolutionary game method. It is found that the cost of information security has an important influence on the choice of the user policy. Product managers, driven by benefits and values, may ignore the importance of information security when choosing the strategy for health QR code products, which will affect users' enthusiasm to use them to some extent and limit their use scenarios and application scope. Therefore, in order to achieve healthy user interaction and sustainable experience design of health QR code products, it is necessary to strengthen data security protection and reduce the cost of information interaction and sharing. Furthermore, on the basis of enhancing user viscosity and improving the usability of health QR code products, our research results show the further need for demand mining and version upgrading of health QR code products.