Background High-quality medical resources are in high demand worldwide, and the application of artificial intelligence (AI) in medical care may help alleviate the crisis related to this shortage. The development of the medical AI industry depends to a certain extent on whether industry experts have a comprehensive understanding of the public’s views on medical AI. Currently, the opinions of the general public on this matter remain unclear. Objective The purpose of this study is to explore the public perception of AI in medical care through a content analysis of social media data, including specific topics that the public is concerned about; public attitudes toward AI in medical care and the reasons for them; and public opinion on whether AI can replace human doctors. Methods Through an application programming interface, we collected a data set from the Sina Weibo platform comprising more than 16 million users throughout China by crawling all public posts from January to December 2017. Based on this data set, we identified 2315 posts related to AI in medical care and classified them through content analysis. Results Among the 2315 identified posts, we found three types of AI topics discussed on the platform: (1) technology and application (n=987, 42.63%), (2) industry development (n=706, 30.50%), and (3) impact on society (n=622, 26.87%). Out of 956 posts where public attitudes were expressed, 59.4% (n=568), 34.4% (n=329), and 6.2% (n=59) of the posts expressed positive, neutral, and negative attitudes, respectively. The immaturity of AI technology (27/59, 46%) and a distrust of related companies (n=15, 25%) were the two main reasons for the negative attitudes. Across 200 posts that mentioned public attitudes toward replacing human doctors with AI, 47.5% (n=95) and 32.5% (n=65) of the posts expressed that AI would completely or partially replace human doctors, respectively. In comparison, 20.0% (n=40) of the posts expressed that AI would not replace human doctors. Conclusions Our findings indicate that people are most concerned about AI technology and applications. Generally, the majority of people held positive attitudes and believed that AI doctors would completely or partially replace human ones. Compared with previous studies on medical doctors, the general public has a more positive attitude toward medical AI. Lack of trust in AI and the absence of the humanistic care factor are essential reasons why some people still have a negative attitude toward medical AI. We suggest that practitioners may need to pay more attention to promoting the credibility of technology companies and meeting patients’ emotional needs instead of focusing merely on technical issues.

As a new business model, live-streaming commerce has great commercial value. This study used the stimulus–organism–response framework to explore the psychological mechanisms of how live peculiarities impact consumer behavioral responses as well as the effects of gender and platform differences, and to make clear how to choose the two dependent variables of engagement and purchase intentions. Using 454 valid questionnaires from consumers who had made purchases during live streaming, the authors employed partial least squares structural equation modeling to analysis the research model. The results suggest that interactivity, visualization, entertainment, and professionalization play considerable roles in consumer behavioral responses and that their psychological mechanisms are different. Male respondents are more satisfied with interactivity than females. E-commerce platforms are more interactive, visible and professional than social media platforms, and the trust mechanism of social media platforms is immature. If we use engagement to describe consumer behavioral responses of interactivity and purchase intentions to describe consumer behavioral responses of visualization, entertainment, and professionalization, this provides a basis for selecting the two dependent variables in live-streaming commerce. This study extends existing theoretical research on live-streaming commerce and provides some managerial implications for platforms, stores, and streamers.

Previous studies have shown that materialism is related to environmentalism, but unstable findings still exist. To clarify the relationships between materialism and pro-environmental attitudes and behaviors, the present study addressed some methodological issues and provided both individual- and regional-level evidence from China. Using data from the World Value Survey and the Chinese General Social Survey, we observed that materialism was negatively associated with pro-environmental attitudes (Study 1, n = 2,300; Study 2, n = 3,672) and pro-environmental behaviors (Study 2). Moreover, we found that pro-environmental attitudes partially mediated the association between materialism and pro-environmental behaviors in Study 2. We further searched for additional regional evidence in Study 3, and we found that the more materialistic regions are, the more energy is consumed. Results indicate that materialism is associated with decreases in pro-environmental attitudes and behaviors. We conclude with a discussion of the theoretical and practical implications of the research findings.

This work was supported in part by the innovation projects of Ph.D. degree students in Hebei, China, under Grant CXZZBS2020134.

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