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Sina Weibo and Twitter are the top microblogging platforms with billions of users. Accordingly, these two platforms could be used to understand the public mood. In this paper, the authors want to discuss how to generate and compare the public mood on Sina Weibo and Twitter. The predictive power of the public mood toward commodity markets is discussed, and the authors want to solve the problem that how to choose between Sina Weibo and Twitter when predicting crude oil prices.

An enhanced latent Dirichlet allocation model considering term weights is implemented to generate topics from Sina Weibo and Twitter. Granger causality test and a long short-term memory neural network model are used to demonstrate that the public mood on Sina Weibo and Twitter is correlated with commodity contracts.

By comparing the topics and the public mood on Sina Weibo and Twitter, the authors find significant differences in user behavior on these two websites. Besides, the authors demonstrate that public mood on Sina Weibo and Twitter is correlated with crude oil contract prices in Shanghai International Energy Exchange and New York Mercantile Exchange, respectively.

Two sentiment analysis methods for Chinese (Sina Weibo) and English (Twitter) posts are introduced, which can be reused for other semantic analysis tasks. Besides, the authors present a prediction model for the practical participants in the commodity markets and introduce a method to choose between Sina Weibo and Twitter for certain prediction tasks.

The purpose of this paper is to investigate how, in China, postings on social media site Weibo reflect as well as accelerate the reshaping of traditional values. As Chinese social media extend their reach outside China, the displays of visible desire, hedonism and materialism could influence global consumption ethos.

Using interpretive content analysis, over 250 Weibo postings of 8 selected Weibo users, from the network of one of the authors, were identified, coded and interpreted. The users were selected based on their frequency, variety and expressiveness of postings.

Weibo is playing a critical role in transforming Chinese consumer values. Via Weibo, personal consumption experiences are available for public gaze. Consequently, desire for powerfully signified objects and experiences is more visible; “enjoy now” is turning out to be an appreciated life attitude, and materialism and hedonism are growing irresistibly. As a result, the traditional Chinese consumer values – suppressing desire, delaying gratification and thriftiness – are losing ground in Chinese society. Also, as Weibo makes the influence of the elite as well as electronic word-of-mouth very powerful, the values of the elite and grassroots groups are actually converging instead of being separated by substantial chasms that have existed historically.

Sina Weibo had a US initial public offering (IPO) of its stock in April, 2014, and many other China-based Internet firms were getting set for US IPOs. This paper provides unique insights for Chinese social media companies’ potential global impact. Future social media contexts would be shaped by collision as well as convergence of Asia-centric and USA-centric platforms. This paper lays the groundwork for studying such interactions.

In-depth interpretations of Weibo postings contribute to our understanding of how social media impact Chinese society now and would potentially affect global societies later. This is a pioneering study on the massive influences of social media on the macro-level consumer behavior.

Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a physicians' online return. This study, therefore, investigates physicians' online economic and social capital return in relation to physicians' use of social media and consumer engagement.

Using ordinary least squares (OLS) regression with fixed effects (FE) and panel data collected from Sina Weibo and Sina Health, this study analyzes the impact of physicians' social media use and consumer engagement on physicians' online return and the moderation effect of professional seniority.

The results reveal that physicians' use of social media and consumer sharing behavior positively affect physicians' online economic return. In contrast, consumer engagement positively impacts physicians' online social capital return. While professional seniority enhances the effect of physicians' social media use on online economic return, professional seniority only enhances the relationship between consumers' sharing behavior to the posts and physicians' online social capital return when professional seniority comes to consumer engagement.

This study reveals the different roles of social media use and consumer engagement in physicians' online return. The results also extend and examine the social media affordances theory in online healthcare communities and social media platforms.

The purpose of this paper is to explore online discussions about the 2014 World Cup on the Chinese social media platform Sina Weibo. Because China did not qualify for the World Cup, the study focusses on the role of online discussions surrounding a worldwide international event from an outsider perspective. Doing so will uncover not only the depth of dialogue surrounding issues of nation and sport, but – perhaps more importantly – also aid in uncovering the utility of online platforms in creating online communities even among presumed outsiders.

A content analysis of the discussions on Sina Weibo is used to identify differences between fanship comments and non-fanship comments in terms of the focus of the content and the degree of valence.

Overall, fans were more likely than non-fans to use positive valence in their comments to enhance the value of the World Cup. Moreover, fans were also more likely to discuss topics closely related to the event itself, such as teams, athletes, and factual information/news about the World Cup, establishing identification with in-group participants. Moreover, the findings also imply important insight regarding electronic commerce opportunities.

This paper is among the first to investigate the online discussions about World Cup in China. Theoretically, this paper provides a comprehensive framework to examine the online discussions of mega-sporting events in China based on theories of social identity theory and nationalism. Practically, it provides baseline data for the sports industry and public relation practitioners to promote a sports event when the direct nationalistic interests are absent. Moreover, it also aids in uncovering the substantial changes in sports-related communication, experiences, and mediated participation.

The purpose of this paper is to investigate how companies make use of social media communication to turn crises into opportunities and how consumers respond to this brand management strategy, and evaluate the effects of this kind of advertising campaign.

This study uses the textual analysis method to examine the verbal fight between two brand competitors on Sina Weibo. An interpretative analysis approach is adopted to analyze a series of micro-blog messages and relevant responses and comments. A statistical analysis is conducted to reveal the public opinion on this case.

The brand crisis due to trademark dispute has been successfully turned into an advertising campaign, which received eager and favorable responses from the consumers. In the name of making apologies, the company in crisis availed itself of the Weibo platform to make a veiled protest against the verdict of the Court. The technique “acting cute” was proved to be effective in diminishing the negative effect of a brand crisis and winning public sympathy and support.

The research findings may provide insights into the interplay between brand advertising and corporate crisis communication on the platform of social media.

This study can inform practitioners of useful techniques to deal with brand crises via social media.

The value of this study lies not only in its contribution to the body of knowledge on online crisis management with a case of Chinese companies, but also in its validation of the interplay between crisis communication and advertising.

The purpose of this paper is to use Weibo as a window to examine the Chinese netizens’ online attitudes and responses to two sets of population policy: the Selective Two-Child Policy (Phase 2) and the Universal Two-Child Policy. The population policy change from the rigid One-Child Policy to the Selective Two-Child Policy then to the Universal Two-Child Policy aroused great attention of the Chinese people.

This research uses the crawler technique to extract data on the Sina Weibo platform. Through opinion mining of Weibo posts on two sets of population policy, the Weibo users’ online opinions on the Two-Child Policy are analyzed from two perspectives: their attention intensity and sentiment tendency. The research also use the State Bureau of Statistics of China’s national population data between 2011 and 2016 to examine the Chinese people’s actual birth behaviors after implementing the two different sets of the Two-Child Policy.

The research findings indicate that the Selective Two-Child Policy (Phase 2) and the Universal Two-Child Policy are good examples of thematic public sphere of Weibo. Weibo posts on the two sets of the Two-Child Policy have undergone different opinion cycles. People from economically developed regions and populous regions have paid more attention to both sets of Two-Child Policy than their counterparts in the less developed and less populated regions. Men pay more attention to the Two-Child Policy than women do. Despite people’s huge attention to the new population policy, the population growth after the policy is not sustainable.

The new population policy alone is difficult to boost China’s population within a short period of time. The Chinese Government must provide its people with enough incentives and supporting welfare to make the population growth happen.

These findings have important implications for understanding the dynamics of online opinion formation and changing population policy in China.

The purpose of this paper is to investigate how the information about haze, a term used in China to describe the air pollution problem, is portrayed on Chinese social media by different types of organizations using the theoretical framework of the health belief model (HBM).

A content analysis was conducted based on the 756 posts retrieved from Sina Weibo, the top microbloging platform in China, following the simple random sampling method. χ2 analysis was conducted to examine the relationships across the three types of organizations (governmental organizations, non-governmental organizations, and corporations) and the use of the HBM concepts (perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action) in terms of haze and its threat to health.

The results of this study indicated that corporations posted more Weibo messages categorized as perceived benefit and most of these posts are related to their products, while governmental organizations posted fewer Weibo messages categorized as perceived severity.

This study provides health decision makers and media consumers with knowledge about how to use social media more effectively in terms of haze-related issues.

Given the severity of air pollution and the influential role microblogging takes, the study aims to fill the gap in the limited literature on haze information dissemination on social media in China. In addition, this study aims to shed theoretical light on HBM as applied to a non-westernized context.

With the rapid development of social media in the past few years, some dark aspects of usage have appeared, e.g., Weibo addiction. Therefore, the purpose of this paper is to address the question of how Weibo keeps users hooked.

The study utilizes the netnography method to explore the symptoms of Weibo addiction and how it is formed.

First, some Weibo users have typical symptoms of addictive behavior, such as withdrawal, loss of control and general living problems; second, narcissism plays an important role in the process of Weibo addiction and has a stronger effect on content generation than content consumption; third, some users use Weibo as a means to alleviate anxiety, but they can then become more anxious owing to addiction; and fourth, the effect of comments has two sides – on the one hand, comments are one kind of feedback to posts, satisfying posters’ social needs, while on the other hand, a storytelling system consists of one post and its comments, upon which some Weibo users become more dependent.

This research is only a preliminary, exploratory study. Therefore, care should be taken when interpreting these findings.

This study should help social media service providers and users to pay attention to the risk of social media addiction. Social media service providers should take social responsibility, design more user-oriented guidelines for marketing ethics and launch more responsible marketing activities. Users should enhance self-control and better balance social media use and offline real life.

Netnography has not been widely used as an addictive behavior research technique. This study is further bolstered because it has also noticed the difference of addiction mechanisms between addictive micro-bloggers and their followers.

The purposes of this paper are to (1) explore how personality traits pertaining to the dominance influence steadiness compliance model manifest themselves in terms of user interaction behavior on social media and (2) examine whether social interaction data on social media platforms can predict user personality.

Social interaction data was collected from 198 users of Sina Weibo, a popular social media platform in China. Their personality traits were also measured via questionnaire. Machine learning techniques were applied to predict the personality traits based on the social interaction data.

The results demonstrated that the proposed classifiers had high prediction accuracy, indicating that our approach is reliable and can be used with social interaction data on social media platforms to predict user personality. “Reposting,” “being reposted,” “commenting” and “being commented on” were found to be the key interaction features that reflected Weibo users' personalities, whereas “liking” was not found to be a key feature.

The findings of this study are expected to enrich personality prediction research based on social media data and to provide insights into the potential of employing social media data for the purpose of personality prediction in the context of the Weibo social media platform in China.

Information opacity in donation crowdfunding activities has constrained the healthy development of China’s public welfare activities. Addressing the trust crisis and enhancing public engagement warrants further investigation. This study aims to uncover the moderating effect of activity transparency by utilizing data from 1,029 donation crowdfunding projects on the Sina Weibo Public Welfare Social Platform. In this way, we seek to elucidate the impact of donation crowdfunding events on fundraising ability.

This study selects text complexity, number of supporters, creator experience, and social capital as explanatory variables; innovatively selects the number of updates of online crowdfunding activities and total reading volume as moderating variables; selects the number of shares of crowdfunding activities as a mediating variable; and constructs a moderated mediation multiple regression model for fundraising ability.

Our findings indicate that independent variables, such as text complexity, number of supporters, and social capital, can significantly affect the dependent variable, fundraising ability. However, creator experience does not influence fundraising ability. Furthermore, social interaction has a mediating effect, whereas activity transparency has a reverse moderating effect. These results indicate that social interaction can enhance the fundraising ability of donation crowdfunding events. However, with an increase in information transparency, the fundraising ability of social media decreases.

The originality of this research is in clarifying the internal factors affecting fundraising ability through induction, making bold assumptions, and focusing on how social media’s effective interaction and activity transparency will affect public welfare crowdfunding fundraising ability.