PRIVACY, FACE, AND SOCIAL RESPECTABILITY IN A DIGITAL CHINA

This study attempts to delineate $2 when they use social media, shop online, and make electronic payments using WeChat Pay and Alipay. It is part of a book I am writing on perceptions of privacy and surveillance in China and is grounded in an inductive content analysis of 58 semi-structured in-depth interviews I conducted late 2019 in Beijing, Shanghai, and Chengdu. Privacy is written with two different words in Mandarin: $2 (a personal thing you do not wish to disclose in public akin to Western definitions) and $2 (hiding a shameful secret). Most of my interviewees used the latter meaning: $2 . Privacy, thus, was $2 , understood as $2 (moral face - e.g., purchases of personal medicine, underwear and sex-related products, or weapons) and $2 (social face - eg., financial information). Moreover, they perceived the need to hide shameful information $2 : parents and supervisors, or hackers who would disclose personal information, but less so an abstract entity such as the government. For instance, several interviewees felt they could “hide on Weibo” using a pseudonym, despite the real-name registration policy. These findings on privacy may shed slight on how Chinese citizens view the digitalization of surveillance through facial recognition monitoring and the building of the social credit system, and contribute to culture-sensitive surveillance research.

Embedded Philanthropic CSR in Digital China: Unified View of Prosocial and Pro-environmental Practices

In recent decades, China has transformed from a conventional society into a digitally competitive nation. From an economic perspective, embedded corporate social responsibility (CSR) is gaining a new height where gamified charity is a trendy approach. By adopting the norm activation model from the point of view of the stimulus–organism–response framework, this research theoretically conceptualized the role of the mobile application environment (including telepresence, functional transparency, and accessibility) to map the cognition and philanthropic behavioral intentions of consumers in the gamified setting. The quantified survey comprised 669 respondents. The findings highlighted the critical role of functional transparency and telepresence of a mobile application in driving consumers’ warm glow and ascribed responsibility. The research underlined the presence of the unique DNA of Internet Plus Charity (Public Benefits) for prosocial and pro-environmental purposes in China under the umbrella of philanthropic CSR.

Data Science Talents Mining from Online Recruitment Market in China Based on Data Mining Technique

As the country implements the big data strategy and accelerates the construction of a digital China, data science has entered a new and dynamic era, and the demand for data science talents in all walks of life is increasing. Many talent training departments have added undergraduates or degrees to data science talents, but it is still unclear whether they can meet social and economic development needs. This article aims to improve the quality and adaptability of data science talent training and conduct an in-depth analysis of the demand for data science talents. The technology used in this article is data mining technology. The data information of data science talents is crawled out of the demand information of data science talents on the recruitment website. The core content of network relationship visualization is proposed and analyzed through machine learning methods and text subject word extraction models. Achieve a comprehensive exploration of the demand for data science talents and provide a reference for talent training units to formulate data science talent training models.

The Rise of Data Politics: Digital China and the World

Data has become one of the most valuable assets for governments and firms. Yet, we still have a limited understanding of how data reshapes international economic relations. This paper explores various aspects of data politics through the lens of China’s digital rise and the country’s global engagement. I start with the theoretical premise that data differs from traditional strategic assets (e.g., land, oil, and labor), in that it is nonrival and partially excludable. These characteristics have generated externality, commitment, and valuation problems, triggering three fundamental changes in China’s external economic relations. First, data’s externality problem makes it necessary for states to regulate data or even to pursue data sovereignty. However, clashes over data sovereignty can ignite conflicts between China and other countries. Second, the commitment problem in data use raises global concerns about foreign government surveillance. As data is easier to transfer across borders than physical commodities, Chinese tech companies’ investments abroad are vulnerable to national security investigations by foreign regulators. Chinese tech companies, therefore, confront a “deep versus broad” dilemma: deep ties with the Chinese government help promote their domestic business but jeopardize their international expansion. Lastly, data’s valuation problem makes traditional measures (e.g., GDP) ill-suited to measure the relative strengths of the world’s economies, which may distort perceptions of China and other states.