Debating the Two-child Policy on Sina Weibo: A Study of Social Media as Symbolic Space in China

2021 ◽  
pp. 1-25
Author(s):  
Qiwei L. Wu ◽  
Xiyuan Liu ◽  
Elaine J. Yuan
Keyword(s):  
Social Media ◽  
Sina Weibo ◽  
Symbolic Space ◽  
Child Policy

Gratifications for using social media

2016 ◽  
Vol 34 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Chunmei Gan
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Analysis ◽  
University Students ◽  
Factor Structure ◽  
T Test ◽  
Sina Weibo ◽  
Chinese University ◽  
Valid Data ◽  
Paired T Test

The purpose of this paper is to examine the general and specific gratifications that drive users’ choice of different social media. Sina Weibo and WeChat in China were selected for the current study. Two separate empirical surveys were conducted and 368 valid data were collected from Chinese university students experienced in using Sina Weibo or WeChat. Exploratory factor analysis, paired t test and independent-samples t test were employed for data analysis. The results identify four general gratifications for using different social media: hedonic gratification, affection gratification, information gratification and social gratification. In addition, factor structure of information gratification is different for different social media. Furthermore, the strength of each gratification differs to varying degrees across the use of different social media. Information gratification plays the most salient role in using Sina Weibo, whereas affection gratification is the most important motive for the use of WeChat. Also, the use of Sina Weibo can better fulfill individuals’ information and hedonic gratifications, while individuals prefer to use WeChat for achieving gratifications of social and affection.

An Experimental Study of Spammer Detection on Chinese Microblogs

2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
User Behavior ◽  
Real Data ◽  
User Profile ◽  
Data Set ◽  
Sina Weibo ◽  
Factors Affecting ◽  
The Government ◽  
Hot Event

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.

scholarly journals Air pollution online: everyday environmental information on the social media site Sina Weibo

2018 ◽  
Vol 74 (4) ◽  
pp. 722-740
Author(s):  
Carin Graminius ◽  
Jutta Haider
Keyword(s):  
Social Media ◽  
Air Pollution ◽  
Environmental Information ◽  
Sina Weibo ◽  
Content Type ◽  
Digital Devices ◽  
Digital Representations ◽  
Information Practices ◽  
Social Media Site ◽  
The Social

Purpose The purpose of this paper is to explore how information on air pollution is shaped online on an everyday basis, with a particular emphasis on digital devices and digital representations as constitutive of environmental information practices. Furthermore, this research highlights an understudied aspect of air pollution – the digital flow of multimodal representations that citizens encounter and produce in their everyday life. Design/methodology/approach The information gathering was carried out on an everyday basis during February-March 2017. The study is based on 403 microblog posts from the social media site Sina Weibo, and netnographic fieldwork, including the observation of news, advertisements, and diary writing. The collected data were mapped in clusters based on the interrelations of objects, agents, and activities, and analyzed in depth using qualitative multimodal analysis. Findings Information enacted through specific socio-materialist configurations depicts air pollution as self-contained and separated from human action. Air quality apps are central in connecting a wider nexus of representations and promoting such perceptions, illustrating the role of digital devices in an everyday information context. Social implications The study reveals a schism between Chinese political environmental visions and everyday environmental information practices, which raises questions of how the battle against air pollution can be sustained in the long term. Originality/value This study suggests that digital material aspects – inbuilt applications of digital devices and digital representations of objects – are interrelated with physical experiences of air pollution, and thus constitute elements of practice in their own right.

scholarly journals Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data (Preprint)

2020 ◽  
Author(s):  
Junze Wang ◽  
Ying Zhou ◽  
Wei Zhang ◽  
Richard Evans ◽  
Chengyan Zhu
Keyword(s):  
Social Media ◽  
Latent Dirichlet Allocation ◽  
Vaccine Development ◽  
User Behavior ◽  
Chinese Government ◽  
Web Crawler ◽  
Health Crisis ◽  
User Behavior Analysis ◽  
Sina Weibo ◽  
Social Media Platforms

BACKGROUND The COVID-19 pandemic has created a global health crisis that is affecting economies and societies worldwide. During times of uncertainty and unexpected change, people have turned to social media platforms as communication tools and primary information sources. Platforms such as Twitter and Sina Weibo have allowed communities to share discussion and emotional support; they also play important roles for individuals, governments, and organizations in exchanging information and expressing opinions. However, research that studies the main concerns expressed by social media users during the pandemic is limited. OBJECTIVE The aim of this study was to examine the main concerns raised and discussed by citizens on Sina Weibo, the largest social media platform in China, during the COVID-19 pandemic. METHODS We used a web crawler tool and a set of predefined search terms (<i>New Coronavirus Pneumonia</i>, <i>New Coronavirus</i>, and <i>COVID-19</i>) to investigate concerns raised by Sina Weibo users. Textual information and metadata (number of likes, comments, retweets, publishing time, and publishing location) of microblog posts published between December 1, 2019, and July 32, 2020, were collected. After segmenting the words of the collected text, we used a topic modeling technique, latent Dirichlet allocation (LDA), to identify the most common topics posted by users. We analyzed the emotional tendencies of the topics, calculated the proportional distribution of the topics, performed user behavior analysis on the topics using data collected from the number of likes, comments, and retweets, and studied the changes in user concerns and differences in participation between citizens living in different regions of mainland China. RESULTS Based on the 203,191 eligible microblog posts collected, we identified 17 topics and grouped them into 8 themes. These topics were pandemic statistics, domestic epidemic, epidemics in other countries worldwide, COVID-19 treatments, medical resources, economic shock, quarantine and investigation, patients’ outcry for help, work and production resumption, psychological influence, joint prevention and control, material donation, epidemics in neighboring countries, vaccine development, fueling and saluting antiepidemic action, detection, and study resumption. The mean sentiment was positive for 11 topics and negative for 6 topics. The topic with the highest mean of retweets was domestic epidemic, while the topic with the highest mean of likes was quarantine and investigation. CONCLUSIONS Concerns expressed by social media users are highly correlated with the evolution of the global pandemic. During the COVID-19 pandemic, social media has provided a platform for Chinese government departments and organizations to better understand public concerns and demands. Similarly, social media has provided channels to disseminate information about epidemic prevention and has influenced public attitudes and behaviors. Government departments, especially those related to health, can create appropriate policies in a timely manner through monitoring social media platforms to guide public opinion and behavior during epidemics.

scholarly journals Bonding across Chinese social media

Pragmatics ◽  
2020 ◽  
Vol 30 (3) ◽  
pp. 431-457 ◽  
Author(s):  
Chaoqun Xie ◽  
Ying Tong ◽  
Francisco Yus
Keyword(s):  
Social Media ◽  
Virtual Community ◽  
Social Bonding ◽  
Social Functions ◽  
Sina Weibo ◽  
Language Play ◽  
Community Values ◽  
Virtual Community Of Practice ◽  
Social Media Platforms ◽  
Linguistic Behavior

Abstract This paper explores social bonding in language play via the construction of ‘Chinese character (annotation)’ on two major social media platforms (Sina Weibo and WeChat) in China. The Chinese characters and their bracketed annotations under study, despite their one-to-one matching in sequence, never match each other either in meaning or in pronunciation. They convey a sense of playfulness among social media users who may be acquaintances or strangers to each other. While research on language play has uncovered systematic interpersonal meanings and social functions, our analysis of screen-based and user-based data shows that such linguistic behavior in a virtual community of practice contributes to social bonding among social media players. Within such structure and with different substitutes for both characters and annotations, social media users frame their expressions in evaluative or emotive ways to facilitate their presentation of an alternative self and of individual or community values.

scholarly journals Online scrutiny of people with nice cars: A comparative analysis of Chinese, Russian, and Anglo-American outrage

2020 ◽  
Vol 5 (3) ◽  
pp. 247-260
Author(s):  
Qian Huang ◽  
Rashid Gabdulhakov ◽  
Daniel Trottier
Keyword(s):  
United States ◽  
Social Media ◽  
United Kingdom ◽  
Comparative Analysis ◽  
Contrasting Cases ◽  
Sina Weibo ◽  
Late Model ◽  
Anglo American ◽  
Media Discourses ◽  
Chinese Social Media

Connected by platforms and equipped with mobile recording devices, social media users are able to conduct near-constant mutual scrutiny. Such mediated scrutiny sometimes escalates to public denunciations online and even mediated or embodied interventions. A recurring theme of such scrutiny can be observed not only on Chinese social media but also on platforms in Russia and elsewhere, in which hostility is openly expressed towards people with nice cars (i.e. late model, luxury, foreign vehicles). In these cases, nice cars are not merely a fact provided by participants in their denunciations; they also serve as an implication of the privileges the owners might possess. By juxtaposing cases in China against other socio-political contexts, the research intends to achieve a better understanding of how and why nice cars are rendered meaningful by participants via mediated scrutiny on social media in China and beyond. The research collects and analyses relevant social media discourses on platforms including Sina Weibo (China), YouTube (Russia), and Facebook (United Kingdom; Australia; United States). Comparing and contrasting cases in different countries, the research demonstrates various forms of critical and populist sentiments that are shaped by unique socio-cultural and political contexts.

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