Chinese Social Network Research Articles

THE RELATIONSHIP BETWEEN EMOTION REGULATION DIFFICULTIES AND SOCIAL NETWORKING SITES ADDICTION

ABSTRACT
 One of the internet facilities that help run social activities is social networking sites. The use of social networking sites is stable on an annual basis at a duration of 3.5 hours/day and is said to bring positive emotions to the users. However, excessive use that tends to lead to the formation of social networking sites addiction can be associated with difficulty in regulating emotions. Previous study had suggested a relationship between social networking sites addiction and emotion regulation difficulties in the context of Chinese social networks. To examine this hypothesis in another location of Jakarta, this study used a non-experimental quantitative method with a self-report questionnaire, namely the adapted version of Social Networking Addiction Scale (SNAS) and Difficulties in Emotion Regulation Scale (DERS). Participants in this study were determined by the cross-sectional approach, involving 391 students (18-24 years) domiciled in Jakarta or who are enrolled in any university in Jakarta. Data was analyzed using Spearman correlation, and the result shows that there is a significant positive relationship between emotion regulation difficulties and social networking sites addiction {r (389) = 0.330, p < 0.01}.

Depression detection on online social network with multivariate time series feature of user depressive symptoms

In recent years, depression has attracted worldwide attention because of its prevalence and great risk for suicide. Existing studies have confirmed the feasibility of depression detection on online social networks. Most existing researches extract the overall features of users during a specific period, which cannot reflect the dynamic variation of depression. Besides, the methods proposed in these studies are often lack in interpretability and fail to establish the correlation between features and depressive symptoms in clinical. To address these problems, we propose a novel framework for depression detection based on multivariate time series feature of user depressive symptoms. Firstly, we construct and publish a well-labeled dataset collecting from the most popular Chinese social network platform Sina Weibo. To the best of our knowledge, it is the first large-scale depression dataset with complete collection of user tweeting histories, which includes 3,711 depressed users and 19,526 non-depressed users. Then, we propose a feature extraction method that reveals user depression symptoms variation in the form of multivariate time series. Moreover, we explore the various influencing factors to the performance of our proposed framework. In addition, we also explore the contributions of features to classification as well as their interpretability and conduct feature ablations on them. The experimental results show that our proposed method is effective and the extracted multivariate time series feature can well characterize the depressive state variation of users. Finally, we analyze the shortcomings and challenges of this study. Our research work also provides methods and ideas for tracking and visualizing the development of depression among online social network users.

The “Kuakua” fever: Proactively requesting praise on Chinese social networking sites

In recent years, Kuakua has gained great popularity on Chinese social networking sites. It is a popular phenomenon in which young Chinese netizens proactively request praise from others in praising groups. However, this speech act seems unconventional as it flouts Leech's (1983) modesty maxim of politeness principle and Gu's (1990) self-denigration maxim. Therefore, this study aims to investigate the self-presentation strategies employed by Kuakua users on Douban and the underlying motivation of Kuakua by analyzing 400 posts quantitatively and qualitatively. These posts were collected using netnography and analyzed via grounded theory. We found that young Chinese netizens tend to use three pragmatic strategies when proactively requesting others' praise, namely, self-praise, self-disclosure, and self-denigration, in order of decreasing frequency. The result indicates a changing perception and attitude towards Chinese politeness among young Chinese netizens. In addition, the popularity of Kuakua in China also suggests an underlying yet intense conflict between the traditional values of politeness and the growing desire of young Chinese for recognition and affection.

Репрезентация концепта «труд» в русской языковой картине мира на материале социальных сетей периода пандемии СОVID-19

The article presents an approach to studying the concept of “Labor” in social networks during the COVID-19 pandemic using the example of the Russian social network “VKontakte” involving elements of background comparison with the Chinese social network “Sina Weibo”. The purpose of the study is to determine the cognitive characteristics of the concept of “Labor” during the COVID-19 pandemic against the background of the Chinese concept 劳动. The research is aimed at studying changes in the symbolic component of the content of the “Labor” concept during the pandemic. The scientific novelty lies in conducting a multidimensional analysis of the components of this concept when representing it in contexts from social networks and in describing its modern relevant features.

Цифровое противостояние США и КНР: экономическое и политическое измерения

China turned out to be the only rival to the US in terms of producing digital products sold in the global market. Digital confrontation, previously defined as economic competition between the United States and China in the fields of development, production, application, and control over digital products and social media platforms, has been transformed into political and ideological deterrence. The United States maintains its leadership in the world of technological innovations and is aimed at rolling back China’s informational activity in social media and its digital products from the markets of both the United States and target regions and countries indicated as a concern of US national security. The administration of Biden has intensified this confrontation by introducing the so-called policy of digital split with China limiting its access to US innovations, blocking social media platforms, and creating an anti-Chinese alliance in cyberspace. This study assesses China’s actions in cyberspace, including issues of digital expansion in African, Asian, and Latin American countries; information campaigns in social networks; and cyber-attacks in the United States. The countermeasures of the United States against the technological growth and expansion of China have been identified in the areas including the establishment of an anti-Chinese digital coalition, the policy of digital connectivity in the Asia-Pacific region, the bilateral cyber diplomacy, and restrictions on the dissemination of Chinese digital products and social networks in the United States. The study concludes that the United States has embarked on a large-scale reduction in China’s technological growth and cyberpower over the next three to five years.

Online Peer Advice: Giving Advice on Chinese Social Networking Sites

This study investigates advice-giving in peer-to-peer comment sections on Chinese social networking sites. The results show that advice, explanation, experience, and assessment are the four most frequent discursive moves in Chinese advice given by peers on social networking sites. Involvement, mitigation, and face-threatening strategies are also utilized frequently by those peers to give directives and express empathy and solidarity on Chinese online sites, thereby building supportive relationships among them in online communities. The online peer advice-giving in this study is influenced by multiple aspects of the platform, participants, and language use, presenting distinctive characteristics that differ from other studies.

Mediatization of Islamophobia on Chinese Social Networks: State Ambiguity in the Face of Anti-Islam Activism

Mediatization of Islamophobia on Chinese Social Networks: State Ambiguity in the Face of Anti-Islam Activism

ANALISA KONSISTENSI, KOMUNIKASI PERSUASIF DAN FOKUS KREATOR DALAM LIVE TIKTOK TERHADAP VIEWERS AND FOLLOWERS ON LIVE ROOM SINTESA

This research is entitled "Analysis of consistency, communication, creator focus in Tiktok towards viewers and followers on live room synthesis". The use of social media that is being widely discussed is tick tok, where tiktok is one of the applications that is widely used by the public, especially teenagers and adults who focus on a variety of activities that can be carried out according to their individual needs, whether to become an affiliate. , entertainment or other educational content in the form of account development to increase followers and viewers when doing live streaming. The use of the tiktok application can be used by using a mobile phone, wherever and whenever and by anyone according to their individual needs. Tiktok is a Chinese social network and music video platform launched in September 2016. The demand when playing tiktok, especially during live streaming, is when there is consistency both in the live room and also making one content created. TikTok users are required to be creative in creating content. The application allows users to create their own short music videos. The theory used in this study is cognitive social theory developed by Albert Bandura and Implementation of Creativity Theory developed by Wallas. The research method used in this study is a qualitative method with a descriptive and phenomenological approach, using data collection methods by means of interviews, observation and documentation. Informants in this study consisted of main informants and supporting informants.

Self-Praise on Chinese Social Network Sites

Self-Praise on Chinese Social Network Sites

The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model.

The outbreak of COVID-19 has led to a global health crisis and caused huge emotional swings. However, the positive emotional expressions, like self-confidence, optimism, and praise, that appear in Chinese social networks are rarely explored by researchers. This study aims to analyze the characteristics of netizens' positive energy expressions and the impact of node events on public emotional expression during the COVID-19 pandemic. First, a total of 6,525,249 Chinese texts posted by Sina Weibo users were randomly selected through textual data cleaning and word segmentation for corpus construction. A fine-grained sentiment lexicon that contained POSITIVE ENERGY was built using Word2Vec technology; this lexicon was later used to conduct sentiment category analysis on original posts. Next, through manual labeling and multi-classification machine learning model construction, four mainstream machine learning algorithms were selected to train the emotional intensity model. Finally, the lexicon and optimized emotional intensity model were used to analyze the emotional expressions of Chinese netizens. The results show that POSITIVE ENERGY expression accounted for 40.97% during the COVID-19 pandemic. Over the course of time, POSITIVE ENERGY emotions were displayed at the highest levels and SURPRISES the lowest. The analysis results of the node events showed after the outbreak was confirmed officially, the expressions of POSITIVE ENERGY and FEAR increased simultaneously. After the initial victory in pandemic prevention and control, the expression of POSITIVE ENERGY and SAD reached a peak, while the increase of SAD was the most prominent. The fine-grained sentiment lexicon, which includes a POSITIVE ENERGY category, demonstrated reliable algorithm performance and can be used for sentiment classification of Chinese Internet context. We also found many POSITIVE ENERGY expressions in Chinese online social platforms which are proven to be significantly affected by nod events of different nature.

Positive or Negative: Differences in Self–Other Representations Among Chinese Social Networking Users

Abstract This study explored differences (positive or negative) in self–other representations among Chinese social networking (Weibo) users with high or low popularity. Through the crawling program of Python software, 413 Weibo users (180 male, 43.58%) with their 5,823 microblog updates were selected as participants. The variables in this study (i.e., self-representation, other representation, relational self, and positive and negative representations) used the word frequency of the corresponding words in the microblog text as an indicator. Results indicated that for high-popularity users and low-popularity users, their expressions of self-representation and relational self were both associated with the expressions of positive emotions in general. Specifically, the association between self-representation and positive emotions was higher among low-popularity users than high-popularity users, whereas the association between relational self and positive emotions was higher in high-popularity users than low-popularity users. Practical implications and future directions of this study's findings are discussed.

Comparison between emerging adults and adults in terms of contamination fear, post-COVID-19 PTSD and psychiatric comorbidity.

The present study compared Chinese emerging adults and adults regarding the association between contamination fear, posttraumatic stress disorder post-COVID-19 and psychiatric comorbidity after controlling for demographic and trauma exposure variables. 1089 Chinese civilians (M = 382; F = 707) with a mean age of 26 years (M = 26.36, SD = 8.58) were recruited from different provinces in China via an online survey posted on mainstream Chinese social networking platforms. They completed a demographic page with questions on trauma exposure, the Vancouver Obsessional Compulsive Inventory, the Posttraumatic Stress Disorder Checklist for DSM-5 and the General Health Questionnaire-28. Results showed that 12.7%, 68.7% and 18.6% met criteria for full, partial and no PTSD, respectively. Emerging adults reported significantly lower levels of symptoms of re-experiencing, avoidance, somatic problems, anxiety and fear of contamination than adults. In both emerging adults and adults, contamination fear was correlated with PTSD and psychiatric comorbidity. High educational attainment was significantly correlated with psychiatric comorbidity in emerging adults, but with PTSD in adults. Length of quarantine was correlated with psychiatric comorbidity only in adults. In conclusion, both emerging adults and adults developed varying levels of contamination fear, posttraumatic stress and general psychological symptoms following the outbreak of COVID-19. Emerging adults were more resilient than adults in coping with distress.

Management and Control of Enterprise Negative Network Public Opinion Dissemination Based on the Multi-Stakeholder Game Mechanism in China

With the rapid growth of Chinese social network users, the open yet anonymous cyberspace makes the Chinese public more inclined to express their feelings and opinions freely on the Internet, and thus generate opinions that are not conducive to the survival and development of Chinese enterprises, i.e., enterprise negative network public opinion. Based on this, this paper takes a Chinese enterprise’s negative network public opinion as the research object. First, our research identifies the stakeholders involved in the dissemination process of public opinion information. Secondly, we model the decision-making behaviors of stakeholders in different stages to obtain the evolutionarily stable strategy. After that, the simulation experiment is conducted to analyze the key points of enterprise strategy adjustment in different stages of negative network public opinion dissemination. The experimental results show that: (1) In its formation stage, opinion leaders usually do not participate in the event, and thus enterprises need to focus on the active ordinary Internet users; (2) In its development stage, if an enterprise wants to reduce the loss caused by negative events, it needs to make use of online media to give corresponding positive guidance; (3) In its control stage, enterprises should take corresponding legal measures to netizens who make improper remarks on the Internet, increase the risk cost of these netizens group, and cooperate with the government’s control work to guide the negative public opinion to turn in a beneficial direction. Finally, the rationality and effectiveness of the proposed model are verified using a practical case.

Uncovering the Heterogeneity in Fitness App Use: A Latent Class Analysis of Chinese Users.

This study examines fitness app use patterns and their correlates among Chinese users from the perspectives of uses and gratification theory and self-determination theory. Our sample comprised 632 users of WeRun, the fitness plugin of WeChat, the largest Chinese mobile social networking app; participants completed an online survey and provided self-tracked physical activity data, which were subjected to latent class analysis. Based on the four-class latent class model (which yielded the best model fit and the most interpretable results), 30.5%, 27.5%, 24.7%, and 17.3% of the users were categorized as light users, reward-oriented users, lifestyle-oriented users, and interaction-oriented users, respectively. Moreover, class membership was associated with gender, age, education, income, life satisfaction, autonomy, and platform-based motivations. There is a significant heterogeneity in fitness app use and exercise behaviors. Platform-based motivations and autonomy are important classification factors, as users are looking for specific kinds of gratification from their use of fitness apps. Demographics and individual characteristics are also explanatory factors for class membership. The study findings suggest that fitness app designers should segment users based on motivation and gratification.

Social Media as Self Existence in Students Using Tiktok Applications

Tik Tok is an application that provides unique and interesting special effects that users of this application can easily use to create cool short videos that can attract the attention of many people who see it. The Tik Tok application is a Chinese social network and music video platform that was launched in September 2016. This application is a short video creation application with music support that is very popular with many people, including adults and minors. This Tik Tok application can also make its users known or famous. The existence of adolescents is important in socializing. The existence of teenagers is also a symbol that teenagers can get along and choose connections with other people. Existing for a teenager is a pleasure in itself. Because its existence is often connoted with pleasant things. For example, having lots of friends and connections, being an important person and some of the pleasures of being with other teenagers like being able to express themselves freely and doing things that are trending for other teenagers. This is what makes the lifestyle of teenagers in general change. They try to always exist so that sometimes they are too exaggerated and wrong in their search for existence. This research uses a qualitative research type with a phenomenological approach, and the location of the research is at Syulthan Thaha Saifuddin State Islamic University Jambi, and the data collection method uses observation, interviews, and documentation, data sources are taken from local officials, and interviews with users of the Tiktok application. The data that has been collected is then analyzed using a qualitative descriptive method.
 Kata Kunci: Media sosial Tik Tok, Eksistensi Diri, Kretifitas

Evaluation of Creativity in Contemporary Dance in Terms of Audience Perception

ABSTRACT Today creativity is increasingly recognized as an essential component of success. The purpose of the study is to test a method of consensus assessment of contemporary dance, which allows a viewer to subconsciously assess the manifestation of creativity in contemporary dance. The sample of participants was formed on the basis of users of Chinese social networks (WeChat, Weibo, Qzone, Youku) and consisted of 46 dancers, 12 choreographers and 123 spectators. The methodology of the experiment is based on the LAVAAN package. The results showed that the presence of creative experience of a rater has a positive effect on the rating score of the creativity component. At the same time, self-proclaimed experts in creativity gave lower points to the creativity in dance videos. It can be argued that the understanding of contemporary dance is much greater for those who have had experience of choreographing dances; simply teaching dance does not necessarily develop the ability to comprehend its meaning. The use of the Likert scale has demonstrated its effectiveness in the analysis of contemporary dance. The results of the study can be useful in the field of choreography, pedagogy, sociology and psychology in the aspect of creativity and culture.

Weibo users perception of the COVID-19 pandemic on Chinese social networking service (Weibo): sentiment analysis and fuzzy-c-means model

Weibo users perception of the COVID-19 pandemic on Chinese social networking service (Weibo): sentiment analysis and fuzzy-c-means model

To Be Ethical and Responsible Digital Citizens or Not: A Linguistic Analysis of Cyberbullying on Social Media.

As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern—especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language. Five cyberbullying cases on Chinese social media were analyzed to uncover explicit and implicit linguistic features. Results indicated that cyberbullying comments had significantly different linguistic profiles than non-bullying comments and that explicit and implicit bullying were distinct. The content of cases further suggested that cyberbullying language varied in the use of words, types of cyberbullying, and sentiment polarity. These findings offer useful insight for designing automatic cyberbullying detection tools for Chinese social networking platforms. Implications also offer guidance for regulating cyberbullying and fostering ethical and responsible digital citizens.

Forgotten passwords and Long-Gone exes: the life and death of Renren

Founded in 2005, Renren was a popular and leading Chinese social media network, especially among college students. However, after reaching its heyday in 2011, user growth dwindled and advertisers fled. By 2018, Renren morphed from a social network to a secondhand car sale business. This paper reconstructs the history of Renren and documents its failed transformation from a social network to a platform. Grounded in platform studies and a political economy theoretical framework, this paper traces Renren’s platform evolution from two perspectives: first, from an end user’s point of view, it examines how Renren’s user interface registered and mirrored shifting corporate strategies and platformisation processes writ large; second, given Renren’s status as a privately-owned, publicly-traded and for-profit business entity, the paper examines how Renren pursued different strategies in search of a viable business model and later on in managing shareholder value and profitability. Ultimately, this paper presents the rise and fall of Renren first and foremost as a platform historiography project. It then discusses Renren’s demise by looking retrospectively at changing interface design, business strategies, and financialisation against the broader dynamics and shifting sociocultural uses of the commercial Chinese internet.

WeChat uptake of chinese scholarly journals: an analysis of CSSCI-indexed journals

The study of how science is discussed and how scholarly actors interact on social media has increasingly become popular in the field of scientometrics in recent years. While most prior studies focused on research outputs discussed on global platforms, such as Twitter or Facebook, the presence of scholarly journals on local platforms was seldom studied, especially in the Chinese social media context. To fill this gap, this study investigates the uptake of WeChat (a Chinese social network app) by the Chinese scholarly journals indexed by the Chinese Social Sciences Citation Index (CSSCI). The results show that 65.3% of CSSCI-indexed journals have created WeChat public accounts and posted over 193 thousand WeChat posts in total. At the journal level, bibliometric indicators (e.g., citations, downloads, and journal impact factors) and WeChat indicators (e.g., clicks, likes, replies, and recommendations) are weakly correlated with each other, reinforcing the idea of fundamentally differentiated dimensions of indicators between bibliometrics and social media metrics. Results also show that journals with WeChat public accounts slightly outperform those without WeChat public accounts in terms of citation impact, suggesting that the WeChat presence of scientific journals is mostly positively associated with their citation impact.