Chinese Microblog Research Articles

The Use of Microblogs and Social Networking Services: A Comparison Between Academic Libraries of the United States and China

ABSTRACTIn this exploratory study, the researchers examined the use of microblogs and social networking services by academic libraries in the United States and China with data collected from library Web sites, social media accounts, and search engines. The top 100 universities from each country were included in the study, and the use of these two types of social media by the main libraries of the universities was examined over a period of about four months. The findings indicate that the adoption rates of these social media were higher among the U.S. libraries as measured by the number of libraries that had an account in each type of social media studied. However, the number of accounts for the Chinese libraries was increasing faster during the study period. In the area of microblogs, where the data from the two countries were more comparable and in-depth analysis was feasible, the U.S. libraries were found to have started using the social media earlier, but the Chinese libraries attracted more users measured by either the absolute or the relative number of followers of the libraries' microblog accounts. The Chinese microblog user base was also developing at a faster pace during the study period.

Why vocal minority dominate Chinese microblog discussions: the influence of status difference

Discussions on Chinese microblog space are often dominated by a few users who occupy higher-status positions compared to the silent majority. In this study, we examined the effects of status differences on the discussion motivation and leadership in a Chinese microblog site. An online experiment was conducted by inviting 16 sophomores low status and 16 senior high status students to a two-week microblog discussion. The results revealed that low-status users were more motivated by personal benefits than high-status users. High-status users were more likely to be nominated as group leaders, although they did not show more leadership behaviours. Through these findings, we explain why the high-status minority dominate Chinese microblogs and provide suggestions for encouraging more diverse voices.

Markov logic networks based emotion classification for Chinese microblogs

With the rapid development of Web 2.0, more and more people have begun to use Weibo as a platform for giving opinions and expressing their emotions. As the microblog rapidly increasing, the researchers pay more attention to it. In addition, emotion has come to be established as a new direction of classification. This paper classifies Chinese microblogs through this prism of emotion. When analysing a microblog, we classify it under several different states of emotion. However, such microblogs contain complex correlativities. The traditional approaches have been to classify each message independently, ignoring correlations that may exist between them. In order to overcome these problems arised from traditional approaches, this paper adopts a statistical relational learning SRL method, Markov logic networks MLNs, to establish the model for Chinese microblogs and to perform the task of emotion classification. The experimental results on imbalanced datasets reveal that MLNs is effective on emotion classification and slightly better than the performance of the baseline; the experimental results on balanced datasets indicate that MLNs is influenced by dataset and the balanced datasets can effectively improve the performance of MLNs on emotion classification.

The Use of Microblog, Social Support, and Depression: A Study of Chinese College Students

Background: The Chinese microblog, such as Tencent Weibo and WeChat, as a tool of communication with smart phones like twitter, is getting popular in China. Majority of Chinese college students are now using the microblog for daily communications and web surfing. The smart phone, with its communication and socialization functions, should help increase the level of social support among its users. Aims: It is to study the relationships among the use of microblog, social support, and depression in Chinese college student populations. It is hypothesized that more frequent users of the microblog are less likely to have depression and have more social support than those who do not use the microblog that often. Methods: We systematically collected and analysed data of 1,298 Chinese college students on a university campus in Beijing, China. The questionnaire included the measure of depression (CES-D) and social support (MSPSS) as well as a number of demographic variables. We measured the Microblog using with two dimensions: frequency and purposes. Results: The higher the frequency of the microblog use, the lower the depression level. “Joining discussions and “caring about society” among the purposes of logins were negatively related to depression. The options “airing personal views” and caring about society were positively related to the students’ social support level. Conclusions: The use of microblog has an impact on psychopathology among Chinese college students. It helps reduce depressive symptoms and improve the level of social support through the networking provided by the microblog. Future studies need to be designed to explore the causal relations between the use of microblog and psychopathology

Discovering the core semantics of event from social media

As social media is opening up such as Twitter and Sina Weibo,11Chinese microblogging website http://weibo.com/. large volumes of short texts are flooding on the Web. The ocean of short texts dilutes the limited core semantics of event in cyberspace by redundancy, noises and irrelevant content on the web, which make it difficult to discover the core semantics of event. The major challenges include how to efficiently learn the semantic association distribution by small-scale association relations and how to maximize the coverage of the semantic association distribution by the minimum number of redundancy-free short texts. To solve the above issues, we explore a Markov random field based method for discovering the core semantics of event. This method makes semantics collaborative computation for learning association relation distribution and makes information gradient computation for discovering k redundancy-free texts as the core semantics of event. We evaluate our method by comparing with two state-of-the-art methods on the TAC dataset and the microblog dataset. The results show our method outperforms other methods in extracting core semantics accurately and efficiently. The proposed method can be applied to short text automatic generation, event discovery and summarization for big data analysis.

Towards a More Proactive Method

Drawing upon policy analysis and textual analysis of official microblogs, this paper describes how Xi’s new leadership regulates public opinion and public emotion in Chinese microblogs. The paper argues that the advent of the Xi Jinping administration demonstrates much more aggressive ideological demands. On the one hand, the new leadership has increasingly ramped up its efforts on censoring information and repressing critical public opinion. On the other hand, however, it has paid more attention to proactively guiding public opinion on the Internet. New strategies, represented by cultivating self-discipline among Internet users, repressing the insubordinate and wooing obedient public opinion leaders, establishing cooperation between official microblogs, and eliminating emotional outpourings in the microblogsphere have been used in Xi’s new ideological campaign to repress Internet rumours and sanitise critical public discourse.

The Impact of Earned Media on Demand: Evidence from a Natural Experiment

We leverage a temporary block of the Chinese microblogging platform Sina Weibo due to political events, to estimate the causal effect of online word-of-mouth content on product demand in the context of TV show viewership. Based on this source of exogenous variation, we estimate an elasticity of TV show ratings (market share in terms of viewership) with respect to the number of relevant comments (comments were disabled during the block) of 0.016. In terms of the behavioral mechanism, we find more post-show microblogging activity increases demand, whereas comments posted prior to the show airing do not affect viewership. These patterns are inconsistent with informative or persuasive advertising effects and suggest a complementarity between TV consumption and anticipated post-show microblogging activity.

Self-disclosure in Chinese micro-blogging: A social exchange theory perspective

This paper examines the influence of social benefits and costs on self-disclosure in the context of micro-blogging in China. Data were collected from 441 micro-blogging users, employing an online survey. Self-disclosure is measured in terms of amount, depth, honesty, intent, and valence of disclosure. The study found that relationship building, enjoyment and trust in service providers are positively related to self-disclosure, while perceived anonymity of self and perceived risk are negatively related to self-disclosure. However, convenience of relationship maintenance and self-presentation are not related to self-disclosure.

Attitudes towards suicide attempts broadcast on social media: an exploratory study of Chinese microblogs

Introduction. Broadcasting a suicide attempt on social media has become a public health concern in many countries, particularly in China. In these cases, social media users are likely to be the first to witness the suicide attempt, and their attitudes may determine their likelihood of joining rescue efforts. This paper examines Chinese social media (Weibo) users’ attitudes towards suicide attempts broadcast on Weibo.Methods. A total of 4,969 Weibo posts were selected from a customised Weibo User Pool which consisted of 1.06 million active users. The selected posts were then independently coded by two researchers using a coding framework that assessed: (a) Themes, (b) General attitudes, (c) Stigmatising attitudes, (d) Perceived motivations, and (e) Desired responses.Results and Discussion. More than one third of Weibo posts were coded as “stigmatising” (35%). Among these, 22%, 16%, and 15% of posts were coded as “deceitful,” “pathetic,” and “stupid,” respectively. Among the posts which reflected different types of perceived motivations, 57% of posts were coded as “seeking attention.” Among the posts which reflected desired responses, 37% were “not saving” and 28% were “encouraging suicide.” Furthermore, among the posts with negative desired responses (i.e., “not saving” and “encouraging suicide”), 57% and 17% of them were related to different types of stigmatising attitudes and perceived motivations, respectively. Specifically, 29% and 26% of posts reflecting both stigmatising attitudes and negative desired responses were coded as “deceitful” and “pathetic,” respectively, while 66% of posts reflecting both perceived motivations, and negative desired responses were coded as “seeking attention.” Very few posts “promoted literacy” (2%) or “provided resources” (8%). Gender differences existed in multiple categories.Conclusions. This paper confirms the need for stigma reduction campaigns for Chinese social media users to improve their attitudes towards those who broadcast their suicide attempts on social media. Results of this study support the need for improved public health programs in China and may be insightful for other countries and other social media platforms.

Archives Microblogs and Archival Culture in China

Abstract Microblogging, like Twitter in America, has become an important and influential platform for disseminating and sharing information and communicating with others in China. By October 20, 2013, 59 government public archives in China had opened their own microblogs on the biggest microblogging platform, Weibo, run by the Internet company Sina. However, the application of microblogging in Chinese archives has some problems and limitations including a small number of archives microblogs, a paucity of posts and followers, scanty information about archival holdings, lack of attention to the development of other related microblogs, and few planning or development strategies. Current studies in China allude to some of the problems and limitations of Chinese archives microblogs and articulate some recommendations, but they do not delve into the reasons for the existing problems of Chinese microblogs. This article analyzes the problems and limitations of Chinese archives microblogs from the perspective of a...

Suicide Communication on Social Media and Its Psychological Mechanisms: An Examination of Chinese Microblog Users.

Background: This study aims to examine the characteristics of people who talk about suicide on Chinese microblogs (referred to as Weibo suicide communication (WSC)), and the psychological antecedents of such behaviors. Methods: An online survey was conducted on Weibo users. Differences in psychological and social demographic characteristics between those who exhibited WSC and those who did not were examined. Three theoretical models were proposed to explain the psychological mechanisms of WSC and their fitness was examined by Structural Equation Modeling (SEM). Results: 12.03% of our respondents exhibited WSC in the past 12 months. The WSC group was significantly younger and less educated, preferred using blogs and online forums for expressing themselves, and reported significantly greater suicide ideation, negative affectivity, and vulnerable personality compared to non-WSC users. SEM examinations found that Weibo users with higher negative affectivity or/and suicidal ideation, who were also using blogs and forums more, exhibited a significantly higher possibility of WSC. Conclusion: Weibo users who are at greater suicide risk are more likely to talk about suicide on Weibo. WSC is a sign of negative affectivity or suicide ideation, and should be responded to with emotional support and suicide prevention services.

Social Representations of Social Media Use in Government

Social media use in government has gained a rapid growth in the last few years around the world. China has witnessed a boom in social media use in government, especially government microblogging. In this study, we employ social representation theory as the primary theoretical lens to investigate Chinese government microblogging. We hope the employment of social representation theory could help us overcome the limitation that previous studies focused on the technology and government side. Interviewing data are drawn from a number of Chinese citizens for eliciting their understandings of Chinese government microblogging, followed by structural analytical procedure on the collected data. The social representation elements are obtained and presented in a map. The findings indicate that (1) social media use in government in China is at the stage of fast growth but at low interaction level; (2) governance and social media user experiences are two new but significant concepts that might have been missed in literature; (3) government microblogging does improve citizens’ perceptions toward government; however, the final outcomes like trust and accountability cannot be achieved by relying on social media use in government alone. Theoretical contributions and practitioner implications are then discussed, followed by the limitations. Finally, we present the concluding remarks for this study.

Global Handwashing Day 2012: a qualitative content analysis of Chinese social media reaction to a health promotion event.

Global Handwashing Day (GHD) is a handwashing promotion campaign organized by the Global Public-Private Partnership of Handwashing with Soap. In China, it has been promoted by the Chinese public health authorities, international organizations and multinational corporations through various channels including social media such as Sina Weibo, the leading Chinese microblogging site similar to Twitter. The objective of this study is to qualitatively assess Chinese social media users' reactions to a health promotion campaign using Global Handwashing Day (GHD) 2012 as an example. We conducted a qualitative content analysis of 552 Weibo posts generated on GHD 2012 by Weibo users with 1000 or more followers with the Chinese keyword for "handwashing." We categorized the Weibo posts into groups by keywords that frequently appeared in the data set. These groups were either exact reposts of an original post, or they conveyed similar information. We observed the interconnections between traditional media and social media in handwashing promotion. Social media were found to serve as amplifiers of contents provided by traditional media. We observed the contextualization of global hygiene messages in a unique national social media market in China. Our study showed that social media and traditional media are two interconnected arms of the GHD campaign in China. Our analysis demonstrated that public health campaigns in China can be evaluated using social media data. The themes and topics identified in this study will help public health practitioners evaluate future social media handwashing promotion campaigns.

Managing the micro-self: the governmentality of real name registration policy in Chinese microblogosphere

This paper investigates the real name registration (RNR) policy introduced by Chinese authorities in 2011 to regulate its vibrant microblogosphere by encouraging users to manage their ‘micro-self'. Foucault's concept of governmentality is adopted to understand how the Chinese state ‘governs at a distance' its colossal microblog population through technologies of the state and technologies of the self. We provide a critical case study of the governmentality of the RNR policy in Chinese microblogosphere by detailing the broad range of user experiences based on 22 in-depth interviews conducted in 2012 and 2013 with users and weibo editors. Shedding a new light on the practices of Chinese Internet regulation through the perspective of governmentality, we challenge the notion of the Chinese state as an omnipotent agent, contest popular media's portrayal of the Chinese microblog subject as either obedient or resistant, and foreground the importance of Internet firms in mediating the negotiation between the state and users.

Microblogging-Based Civic Participation on Environment in China: A Case Study of the PM 2.5 Campaign

Poor air quality has been affecting the Chinese people for many years due to the country’s speedy industrialization and urbanization. However, very few initiatives had been taken by civil society until 2011. The air pollution campaign between October 2011 and March 2012 initiated on a Chinese microblogging website, mobilized millions of citizens and effected policy change. It is often seen as a milestone in the chronology of public participation in China. Using process tracing, participant observations, framing analysis and in-depth interviews, the article analyses this campaign by revealing its major actors and frames mobilizing issue entrepreneurs and environmental publics. Our analysis generates two findings: first, microblogging platforms can greatly expand the networks of Chinese environmental activists by involving public figures and governmental agencies; second, the frame which links air pollution to health and appreciates governmental efforts is critical to the success of civic participation in China’s environmental governance.

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model.

BackgroundTraditional offline assessment of suicide probability is time consuming and difficult in convincing at-risk individuals to participate. Identifying individuals with high suicide probability through online social media has an advantage in its efficiency and potential to reach out to hidden individuals, yet little research has been focused on this specific field.ObjectiveThe objective of this study was to apply two classification models, Simple Logistic Regression (SLR) and Random Forest (RF), to examine the feasibility and effectiveness of identifying high suicide possibility microblog users in China through profile and linguistic features extracted from Internet-based data.MethodsThere were nine hundred and nine Chinese microblog users that completed an Internet survey, and those scoring one SD above the mean of the total Suicide Probability Scale (SPS) score, as well as one SD above the mean in each of the four subscale scores in the participant sample were labeled as high-risk individuals, respectively. Profile and linguistic features were fed into two machine learning algorithms (SLR and RF) to train the model that aims to identify high-risk individuals in general suicide probability and in its four dimensions. Models were trained and then tested by 5-fold cross validation; in which both training set and test set were generated under the stratified random sampling rule from the whole sample. There were three classic performance metrics (Precision, Recall, F1 measure) and a specifically defined metric “Screening Efficiency” that were adopted to evaluate model effectiveness.ResultsClassification performance was generally matched between SLR and RF. Given the best performance of the classification models, we were able to retrieve over 70% of the labeled high-risk individuals in overall suicide probability as well as in the four dimensions. Screening Efficiency of most models varied from 1/4 to 1/2. Precision of the models was generally below 30%.ConclusionsIndividuals in China with high suicide probability are recognizable by profile and text-based information from microblogs. Although there is still much space to improve the performance of classification models in the future, this study may shed light on preliminary screening of risky individuals via machine learning algorithms, which can work side-by-side with expert scrutiny to increase efficiency in large-scale-surveillance of suicide probability from online social media.

Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases.

This study aimed to identify what information triggered social media users’ responses regarding infectious diseases. Chinese microblogs in 2012 regarding 42 infectious diseases were obtained through a keyword search in the Weiboscope database. Qualitative content analysis was performed for the posts pertinent to each keyword of the day of the year with the highest daily count. Similar posts were grouped and coded. We identified five categories of information that increased microblog traffic pertaining to infectious diseases: news of an outbreak or a case; health education / information; alternative health information / Traditional Chinese Medicine; commercial advertisement / entertainment; and social issues. News unrelated to the specified infectious diseases also led to elevated microblog traffic. Our study showcases the diverse contexts from which increased social media traffic occur. Our results will facilitate better health communication as causes underlying increased social media traffic are revealed.

A pilot study of differences in behavioral and linguistic characteristics between Sina suicide microblog users and Sina microblog users without suicide idea

To investigate how suicide microblog users in China "act" and "speak" differently from other microblog users without suicide idea. The suicide group consisted of 31 Chinese microblog users identified as suicide via online information provided by a Sina microblog user, and the control group consisted of 30 active microblog users without suicide idea screened by using suicide-related psychological scales. The differences in 10 microblog use behavioral characteristics and 88 linguistic characteristics between the suicide group and the control group were compared with normality test and rank sum test respectively. In the behavioral characteristics, the suicide group used hyperlinks and "@" less frequently than the control group [0.04 (0.04) vs. 0.06 (0.04), P=0.029; 0.60 (0.27) vs. 0.69 (0.18), P=0.028], and was more self-focused [0.47 (0.25) vs. 0.30 (0.10), P=0.010]. In the linguistic characteristics, the suicide group showed less frequency in using measure word, work related word and apostrophe than the control group (P<0.05), and showed more frequency in using pronoun, personal pronoun, third person singular, non-specific pronoun, word expressing social experience, word expressing anxiety, word expressing exclusion, sexual word, religious word, second person singular, human being related word, negative emotion related word, anger related word, sadness or death related word (P<0.05). Suicides seemed to interact less with others, showed more self-concern and more negative expressions, use more cognitively exclusive, death-related, religion-related words, and use less work-related words. The results of this study might be helpful for the research on suicide among netizen.

Social media in tourism: a visual analytic approach

This research note seeks to examine a vast amount of tourism-related Chinese social media posts using a visual analytic approach. Visual analytics turns information overload into an opportunity. In this case, the mainstream Chinese microblog service, Sina Weibo, was selected as it generates large volumes of data, representing significant consumer insights, that are challenging to analyse by other common research methods. The most frequently reposted tourist visa news in the first eight months of 2014 were harvested and used as a case study. Findings from this study demonstrate that a visual analytic approach can offer insights into the impact of travel news on Chinese consumers. These insights include potential tourist generating regions, the life span of travel news, and tourists’ attitudes towards travel policy changes. Such insights provide important implications for scholars and practitioners, such as enabling real-time decisions of Destination Management Organizations’ social media marketing strategies in China.

Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A(H7N9) outbreak in China.

We conducted in-depth analysis on the use of a popular Chinese social networking and microblogging site, Sina Weibo, to monitor an avian influenza A(H7N9) outbreak in China and to assess the value of social networking sites in the surveillance of disease outbreaks that occur overseas. Two data sets were employed for our analysis: a line listing of confirmed cases obtained from conventional public health information channels and case information from Weibo posts. Our findings showed that the level of activity on Weibo corresponded with the number of new cases reported. In addition, the reporting of new cases on Weibo was significantly faster than those of conventional reporting sites and non-local news media. A qualitative review of the functions of Weibo also revealed that Weibo enabled timely monitoring of other outbreak-relevant information, provided access to additional crowd-sourced epidemiological information and was leveraged by the local government as an interactive platform for risk communication and monitoring public sentiment on the policy response. Our analysis demonstrated the potential for social networking sites to be used by public health agencies to enhance traditional communicable disease surveillance systems for the global surveillance of overseas public health threats. Social networking sites also can be used by governments for calibration of response policies and measures and for risk communication.