Statistical Analysis of Dispelling Rumors on Sina Weibo by Yue Wu, Min Deng, Xin Wen, Min Wang, Xi Xiong

“…By using the False Information Publicity Results of Sina Weibo as the data source of empirical research, this article compares the typical features of rumor and anti-rumor accounts. …”
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Feature importance analysis for spammer detection in Sina Weibo by Yu-xiang ZHANG, Yu SUN, Jia-hai YANG, Da-lei ZHOU, Xiang-fei MENG, Chun-jing XIAO

Subjects: “…Sina Weibo…”
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Attention and sentiment of Chinese public toward rural landscape based on Sina Weibo by Jinji Zhang, Guanghu Jin, Yang Liu, Xiyue Xue

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Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks by Zhiwei Zhang, Aidong Fang, Lin Cui, Zhenggao Pan, Wanli Zhang, Chengfang Tan, Chao Wang

“…Using information propagation trees (IPT) of posts from the Sina Weibo microblogging site, we conducted a null model-based analysis to determine the influence of community structures on information propagation. …”
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Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo by Yufei Liu, Dechang Pi, Lin Cui

“…Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model.…”
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Exploring Food Safety Emergency Incidents on Sina Weibo: Using Text Mining and Sentiment Evolution by Biao Ma, Ruihan Zheng

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Four-function model analysis of non-suicidal self-injury-related posts on Sina Weibo by Xin Yu, Kexin Zhang, Ziyang Wang

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The emotions of Chinese netizens toward the opening-up policies for COVID-19: panic, trust, and acceptance by Qiong Dang, Yifei Li, Suping Chen

Subjects: “…Sina Weibo…”
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Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms by Lirong Qiu, Huili Zhang, Zhen Zhang, Qiumei Pu

“…With the development of microblogs, selling and buying appear in online social platforms such as Sina Weibo and Wechat. Besides Mandarin, Tibetan language is also used to describe products and customers’ opinions. …”
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Vector semantic computing method study for short sentence by Fu CHEN, Chuang LIN, Chao XUE, Yue-mei XU, Kun MENG, Yi-han NI

“…Then, huge quantities of Sina Weibo contents are collected to verify the model and algorithm put forward. …”
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Weibo spammers’ identification algorithm based on Bayesian model by Yan-mei ZHANG, Ying-ying HUANG, Shi-jie GAN, Yi DING, Zhi-long MA

“…In order to distinguish the spammers efficiently,a classifier based on the behavior characteristics was established.By analyzing the previous research,the ratio of followers,total number of blog posts,the number of friends,comprehensive quality evaluation and favorites according to latest data set,the Weibo spammers’ identification algorithm was realized based on Bayesian model and genetic algorithm.The experiment result based on the real-time data of Sina Weibo verify that the Bayesian model recognition algorithm can ensure spammers recognition accuracy without sacrificing recognition rate of non-spammers,and the proposed threshold value matrix proposed optimization can significantly improve recognition accuracy navy.…”
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Performance analysis of topic detection algorithms in distributed environment by Lu DENG, Yan JIA, Binxing FANG, Bin ZHOU, Tao ZHANG, Xin LIU

“…Social network has become a way of life,therefore more and more people choose social network to express their views and feelings.Quickly find what people are talking about in big data gets more and more attention.And a lot of related methods of topic detection spring up in this situation.The performance analysis project was proposed based on the characteristics of social network.According to the project,the performances of some typical topic detection algorithms were tested and compared in large-scale data of Sina Weibo.What’s more,the advantages and disadvantages of these algorithms were pointed out so as to provide references for later applications…”
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Study on user influence analysis via regional user interaction model in online social networks by Nan WANG, dong SUNQin, dong ZHOUYa, qin WANGHan, sheng SUILian

“…Experiments are based on the real data of Sina Weibo and RenRen online social networks and the results show that compared with the existing methods the method has better accuracy and efficiency for the infl tial user and zombie us-er identification.…”
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Research on the evolution of college online public opinion risk based on improved Grey Wolf Optimizer combined with LSTM model. by Chao Cao, Ziyu Li, Lingzhi Li, Fanglu Luo

“…This research proposes a public opinion crisis prediction model that applies the Grey Wolf Optimizer (GWO) algorithm combined with long short-term memory (LSTM) and implements it to analyze a trending topic on Sina Weibo to validate its prediction accuracy. A full-chain analytical framework for online public opinion prediction is established in this study, which enables the model to illustrate the level of risk related to public opinion and its variation trend by introducing the public opinion risk index. …”
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An inside look into the complexity of box-office revenue prediction in China by Jia Xiao, Xin Li, Shanzhi Chen, Xuhui Zhao, Meng Xu

“…We also manifest the power of influential users through constructing Sina Weibo acquisition and analysis system.…”
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Athletes’ Personal Branding on Social Media: A Case Study of Eileen Gu during the Beijing Olympics by Fang Xie, Dongye Lyu, Hao Zhang

“…Employing a content analysis methodology, the present research explores the evolution of Eileen Gu’s personal brand and the molding of her media image through a comparative examination of her Instagram and Sina Weibo posts before and after the 2022 Beijing Olympics. …”
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Event-Based User Classification in Weibo Media by Liang Guo, Wendong Wang, Shiduan Cheng, Xirong Que

“…By analyzing real data collected from Sina Weibo, we investigate the Weibo properties and utilize both content information and social network information to classify the numerous users into four primary groups: celebrities, organizations/media accounts, grassroots stars, and ordinary individuals. …”
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GroupFound: An effective approach to detect suspicious accounts in online social networks by Bo Feng, Qiang Li, Xiaowen Pan, Jiahao Zhang, Dong Guo

“…We evaluate GroupFound on Sina Weibo dataset and find an appropriate threshold to identify suspicious accounts. …”
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Demonstration of Participation Networks in Urban Transport Policy of Public and Private Sectors through Social Media: The Case of Bike-Sharing Pricing Strategy in China by Qian Ye, Xiaohong Chen, Hua Zhang, Junjie Cai, Kaan Ozbay

“…Dataset on retweets from the Chinese Twitter-Sina Weibo is collected. Results reveal two types of important actors with unequal roles in terms of information diffusion: the “network root” and the “network bridge.” …”
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The revival of spiritual practices: factors influencing the “seeking deities and offering prayers” behavior of China’s Generation Z on social media in an atheistic context by Jing Wang, Balamuralithara Balakrishnan, Xiaohui Wan, Qirui Yu, Qiqi Ye

“…This study fills this gap by extending the Theory of Planned Behavior (TPB) to predict additional influencing factors of digital religious intentions and behavior.MethodsThis study employed a quantitative design, disseminating surveys via Sina Weibo and the Douyin platform. We collected a total of 525 valid responses. …”
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