Explore the vast range of titles available.

The Internet and social media are pervasive and transformative forces in contemporary China. Nearly half of China's 1.3 billion citizens use the Internet, and tens of millions use Sina Weibo, a platform similar to Twitter or Facebook. Recently, Weixin/Wechat has become another major form of social media. While these services have allowed regular people to share information and opinions as never before, they also have changed the ways in which the Chinese authorities communicate with the people they rule. China's party-state now invests heavily in speaking to Chinese citizens through the Internet and social media, as well as controlling the speech that occurs in that space. At the same time, those authorities are wary of the Internet's ability to undermine the ruling party's power, organize dissent, or foment disorder. Nevertheless, policy debates and public discourse in China now regularly occur online, to an extent unimaginable a decade or two ago, profoundly altering the fabric of China's civil society, legal affairs, internal politics, and foreign relations. The Internet, Social Media, and a Changing Chinaexplores the changing relationship between China's cyberspace and its society, politics, legal system, and foreign relations. The chapters focus on three major policy areas-civil society, the roles of law, and the nationalist turn in Chinese foreign policy-and cover topics such as the Internet and authoritarianism, \"uncivil society\" online, empowerment through new media, civic engagement and digital activism, regulating speech in the age of the Internet, how the Internet affects public opinion, legal cases, and foreign policy, and how new media affects the relationship between Beijing and Chinese people abroad. Contributors:Anne S. Y. Cheung, Rogier Creemers, Jacques deLisle, Avery Goldstein, Peter Gries, Min Jiang, Dalei Jie, Ya-Wen Lei, James Reilly, Zengzhi Shi, Derek Steiger, Marina Svensson, Wang Tao, Guobin Yang, Chuanjie Zhang, Daniel Xiaodan Zhou

Vietnamese nationalism has a strong undercurrent of anti-China sentiments, and Vietnam's leaders have regularly tapped into such sentiments to shore up their legitimacy and boost Vietnamese nationalism.Over the last decade, the helter-skelter growth of social media has bred new popular actors in Vietnamese cybersphere, who are deeply nationalistic but who pursue entirely different political and social agendas. In sum, they give rise to a new nationalistic narrative, one that paints the Vietnam Communist Party as being often too meek and subservient to China, and calls for drastic reforms to the political system—regime change not excluded—to deal with Chinese threats.An examination of prominent cases of online Vietnamese nationalism shows that anti-China sentiments have been a recurrent theme and a consistent trigger. The online nationalistic movements have been mostly instigated by popular figures, with state actors playing a facilitating role in stoking and harnessing them for their own ends.Manifestations of online nationalism, especially those centred on anti-China and sovereignty issues, may hold serious consequences, including violence and deadly riots. In some instances, online nationalistic campaigns both galvanize and dissipate relatively quickly once state and popular actors have somehow managed to achieve their aims.The growing salience of online Vietnamese nationalism has posed serious challenges and dilemmas for the regime. The authorities have had to encourage nationalistic patriotism without letting Sinophobia spiral out of control or turn against the regime.

Little is known about the context sensitivity of users’ online security perceptions and behaviors to national and individual attributes, and there is inadequate research about the spectrum of users’ behaviors in dealing with online security threats. In addressing this gap, this paper draws on two complementary theoretical bases: (1) the contextualization of the protection motivation theory (PMT) to online security behavior and (2) a polycontextual lens for the cross-national comparison of users’ security behaviors in the United States and China. The conceptualized model is tested based on 718 survey observations collected from the United States and China. The results support our model and show the divergence between the United States, an exemplar of modern Western society, and China, an exemplar of traditional Eastern society, in forming threat perceptions and in seeking help and avoidance as coping behaviors. Our results also uncovered the significant moderating impacts of espoused culture on the way perceptions of security threats and coping appraisals influence security behaviors. Our findings underline the importance of context-sensitive theory building in security research and provide insights into the motivators and moderators of individuals’ online security behaviors in the two nations.

The COVID-19 pandemic has significantly impacted the healthcare industry, especially public health resources and resource allocation. With the change in people’s lifestyles and increased demand for medical and health care in the post-pandemic era, the Internet and home healthcare have rapidly developed. As an essential part of Internet healthcare, mobile health (mHealth) applications help to fundamentally address the lack of medical resources and meet people’s healthcare needs. In this mixed-method study, we conducted in-depth interviews with 20 users in China (mean age = 26.13, SD = 2.80, all born in China) during the pandemic, based on the unified theory of acceptance and use of technology 2 (UTAUT-2) mode, and identified four dimensions of user needs in mHealth scenarios: convenience, control, trust, and emotionality. Based on the interview results, we adjusted the independent variables, deleted the hedonic motivation and the habit, and added the perceived trust and perceived risk as the variables. Using a structural equation model (SEM), we designed the questionnaire according to the qualitative results and collected data from 371 participants (above 18 years old, 43.9% male) online to examine the interrelationships these variables. The results show that performance expectancy (β = 0.40, p < 0.001), effort expectancy (β = 0.40, p < 0.001), social influence (β = 0.14, p < 0.05), facilitating condition (β = 0.15, p < 0.001), and perceived trust (β = 0.31, p < 0.001) had positive effects on use intention. Perceived risk (β = −0.31, p < 0.001) harmed use intention, and price value (β = 0.10, p > 0.5) had no significant effects on use intention. Finally, we discussed design and development guidelines that can enhance user experience of mHealth applications. This research combines the actual needs and the main factors affecting the use intention of users, solves the problems of low satisfaction of user experience, and provides better strategic suggestions for developing mHealth applications in the future.

The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.

Since the coronavirus disease (COVID-19) epidemic in China in December 2019, information and discussions about COVID-19 have spread rapidly on the internet and have quickly become the focus of worldwide attention, especially on social media. This study aims to investigate and analyze the public's attention to events related to COVID-19 in China at the beginning of the COVID-19 epidemic (December 31, 2019, to February 20, 2020) through the Sina Microblog hot search list. We collected topics related to the COVID-19 epidemic on the Sina Microblog hot search list from December 31, 2019, to February 20, 2020, and described the trend of public attention on COVID-19 epidemic-related topics. ROST Content Mining System version 6.0 was used to analyze the collected text for word segmentation, word frequency, and sentiment analysis. We further described the hot topic keywords and sentiment trends of public attention. We used VOSviewer to implement a visual cluster analysis of hot keywords and build a social network of public opinion content. The study has four main findings. First, we analyzed the changing trend of the public's attention to the COVID-19 epidemic, which can be divided into three stages. Second, the hot topic keywords of public attention at each stage were slightly different. Third, the emotional tendency of the public toward the COVID-19 epidemic-related hot topics changed from negative to neutral, with negative emotions weakening and positive emotions increasing as a whole. Fourth, we divided the COVID-19 topics with the most public concern into five categories: the situation of the new cases of COVID-19 and its impact, frontline reporting of the epidemic and the measures of prevention and control, expert interpretation and discussion on the source of infection, medical services on the frontline of the epidemic, and focus on the worldwide epidemic and the search for suspected cases. Our study found that social media (eg, Sina Microblog) can be used to measure public attention toward public health emergencies. During the epidemic of the novel coronavirus, a large amount of information about the COVID-19 epidemic was disseminated on Sina Microblog and received widespread public attention. We have learned about the hotspots of public concern regarding the COVID-19 epidemic. These findings can help the government and health departments better communicate with the public on health and translate public health needs into practice to create targeted measures to prevent and control the spread of COVID-19.

This paper investigates the economic value of online reviews for consumers and restaurants. We use a data set from Dianping.com , a leading Chinese website providing user-generated reviews, to study how consumers learn, from reading online reviews, the quality and cost of restaurant dining. We propose a learning model with three novel features: (1) different reviews offer different informational value to different types of consumers; (2) consumers learn their own preferences, and not the distribution of preferences among the entire population, for multiple product attributes; and (3) consumers update not only the expectation but also the variance of their preferences. Based on estimation results, we conduct a series of counterfactual experiments and find that the value from Dianping is about 7 CNY for each user, and about 8.6 CNY from each user for the reviewed restaurants in this study. The majority of the value comes from reviews on restaurant quality, and contextual comments are more valuable than numerical ratings in reviews.

Museums increasingly rely on cutting-edge digital technologies to attract visitors. Understanding the intricate factors influencing user acceptance of these technologies is, however, crucial for their effective use. This study therefore proposes a model, grounded in the technology acceptance model, to investigate user acceptance of online virtual reality (VR) museum exhibitions. Leveraging the online VR exhibition at Liangzhu Museum as a case study, data were collected from 313 participants and analyzed using partial least squares structural equation modeling (PLS-SEM) with Smart PLS. Semi-structured interviews with 15 individuals were conducted to complement the quantitative findings. The results reveal that factors such as interactivity, immersion, and presence positively influenced users’ intrinsic technological beliefs (perceived ease of use, perceived enjoyment, and perceived usefulness), ultimately affecting their willingness to use and intention to visit on-site. Notably, immersion had a direct positive effect on perceived usefulness. There is a pressing need to leverage digital and web technologies to cater to the increasingly complex and diverse needs of online visitors, and emphasizing navigational performance in online VR exhibitions is also paramount for enhancing the overall user experience.

Internet hospitals in China are in great demand due to limited and unevenly distributed health care resources, lack of family doctors, increased burdens of chronic diseases, and rapid growth of the aged population. The COVID-19 epidemic catalyzed the expansion of online health care services. In recent years, internet hospitals have been rapidly developed. Ping An Good Doctor is the largest, national online medical entry point in China and is a widely used platform providing online health care services. This study aims to give a comprehensive description of the characteristics of the online consultations and inquisitions in Ping An Good Doctor. The analyses tried to answer the following questions: (1) What are the characteristics of the consultations in Ping An Good Doctor in terms of department and disease profiles? (2) Who uses the online health services most frequently? and (3) How is the user experience of the online consultations of Ping An Good Doctor? A total of 35.3 million consultations and inquisitions over the course of 1 year were analyzed with respect to the distributions of departments and diseases, user profiles, and consulting behaviors. The geographical distribution of the usage of Ping An Good Doctor showed that Shandong (18.4%), Yunnan (15.6%), Shaanxi (7.2%), and Guangdong (5.5%) were the provinces that used it the most; they accounted for 46.6% of the total consultations and inquisitions. In terms of department distribution, we found that gynecology and obstetrics (19.2%), dermatology (17.0%), and pediatrics (14.4%) were the top three departments in Ping An Good Doctor. The disease distribution analysis showed that, except for nondisease-specific consultations, acute upper respiratory infection (AURI) (4.1%), pregnancy (2.8%), and dermatitis (2.4%) were the most frequently consulted diseases. In terms of user profiles, females (60.4%) from 19 to 35 years of age were most likely to seek consultations online, in general. The user behavior analyses showed that the peak times of day for online consultations occurred at 10 AM, 3 PM, and 9 PM. Regarding user experience, 93.0% of users gave full marks following their consultations. For some disease-related health problems, such as AURI, dermatitis, and eczema, the feedback scores were above average. The prevalence of internet hospitals, such as Ping An Good Doctor, illustrated the great demand for online health care services that can go beyond geographical limitations. Our analyses showed that nondisease-specific issues and moderate health problems were much more frequently consulted about than severe clinical conditions. This indicated that internet hospitals played the role of the family doctor, which helped to relieve the stress placed on offline hospitals and facilitated people's lives. In addition, good user experiences, especially regarding disease-related inquisitions, suggested that online health services can help solve health problems. With support from the government and acceptance by the public, online health care services could develop at a fast pace and greatly benefit people's daily lives.