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;feature definition;feature selection;spammer detection…”
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Mining Parallel Corpora from Sina Weibo and Twitter by Wang Ling, Luís Marujo, Chris Dyer, Alan W. Black, Isabel Trancoso

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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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Intercultural Attitudes Embedded in Microblogging: Sentiment and Content Analyses of Data from Sina Weibo by Xiaotian Zhang

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Scientific knowledge dissemination in the multilingual and digital era: A multimodality-enhanced genre analysis of Chinese epidemiologists’ COVID-19 posts on Sina Weibo by Wei Xu, Hanyu Jia

“…   The emerging digital genres distributed via social media platforms have been increasingly prominent in disseminating scientific knowledge to the public audience. During COVID-19, Sina Weibo, the biggest Chinese microblogging website, has become the primary media where  epidemiologists communicate knowledge of public health to the generalist audiences. …”
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Weibo public opinion analysis of emergencies using lexicon-based and deep learning approaches: a case study of the 12.18 Jishishan Seismic Event by Yaohui Liu, Xinyu Zhang, Xinkai Wang, Jian Cui, Fei Su

Subjects: “…Sina Weibo…”
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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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Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis by Xiao Chen, Zhiyun Shen, Tingyu Guan, Yuchen Tao, Yichen Kang, Yuxia Zhang

“…MethodsThis study conducted a spatiotemporal analysis of the volume, sentiment, and topic of patient experience–related posts on the Weibo platform developed by Sina Corporation. We applied a supervised machine learning approach including human annotation and machine learning–based models for topic modeling and sentiment analysis of the public discourse. …”
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Analyzing the spatial–temporal dynamics of disaster risk based on social media data: a case study of Weibo during the Typhoon Yagi period by Xingqi Zou, Jiaxin Lv

“…Employing the spatial–temporal dynamics approach, the study utilizes social media data from Sina Weibo, collected through Python crawling, to analyze the diffusion process of typhoon disaster risks and the mechanism of emergency knowledge dissemination. …”
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Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method by Shan He, Fengshi Jing, Hao Ren, Yanning Xiao, Xia Sebastiane Chen, Ruihong Tang, Yue Qiu, Junwei Zeng, Tianyu Gao, Junhao Huang

“…This study aimed to explore the sentiments of families regarding sports participation for individuals with ASD using longitudinal data from Weibo, a popular Chinese social media platform. Objective This study investigates family sentiments and attitudes toward sports participation by ASD individuals, leveraging longitudinal data from Sina Weibo and machine learning–based sentiment analysis. …”
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Public Sentiment on Chinese Social Media during the Emergence of COVID19 by Yingdan Lu, Jennifer Pan, Yiqing Xu

“…By analyzing millions of social media posts from Sina Weibo made between December 2019 and February 2020, we describe the contours of public, online discussions pertaining to COVID-19 in China. …”
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Research on emotion monitoring of public based on social network big data by Aili LI, Zishuai ZHANG, Yin LIN, Qiuju WANG, Jianan YANG, Weicheng MENG, Yanfeng ZHANG

“…In recent years, social networking platforms such as Sina Weibo and Twitter have gradually become one of the main carriers for reflecting social public opinion, providing a convenient platform for netizens to express their opinions and emotions.Public opinion monitoring based on social network big data has become a new research hotspot.People’s emotions monitoring using social network big data in various countries is helpful to directly grasp people’s emotional tendencies in international relations, and has a great impact on the diplomacy, foreign trade, and other aspects.Based on this, a public sentiment monitoring system for Chinese and Japanese data was proposed, which could analyze the emotional tendencies contained in Chinese and Japanese data on social platforms such as Sina Weibo and Twitter simultaneously, and displayed them to users in a visual form.In the aspect of sentiment analysis algorithm, based on the BERT model and combined with the self-expanding Chinese and Japanese sentiment lexicon, a new sentiment analysis model, EmoBERT, was proposed.The experimental results show that, compared with the original BERT model, the EmoBERT has achieved good results on both Chinese sentiment classification tasks and Japanese sentiment classification tasks.Among them, EmoBERT-C increases the accuracy of Chinese BERT from 89.68% to 92.15%, and EmoBERT-J increases the accuracy of Japanese BERT model from 74.73% to 78.26%.…”
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Sentiment analysis of college students’ microblog posts regarding digital identity via knowledge integration framework by Quan Gan, Liang Yan, Xiaoyan Ren, Pengyu Lou

“…This study investigates the digital identities and online sentiments of college students by leveraging the vast content they generated on social media platforms, specifically Sina Weibo. Utilizing the Enhanced Representation with Knowledge Integration Framework (ERNIE), we developed an optimized sentiment identification model that achieved a remarkable accuracy of 89.51%. …”
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To live or to stay alive? A thematic and sentiment analysis of public posts on social media during the 2022 Shanghai COVID-19 outbreak by Lixiong Chen, Nairui Xu

“…Objective The use of social media during the COVID-19 pandemic has been researched extensively since the outbreak. Sina Weibo, as one of most commonly used social media platforms in China, played an important role in public expression for the duration of COVID-19. …”
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Changes in online public opinions associated with various three-child supportive policies in China: Observational study using social media data over time. by Lijuan Peng, Tinggui Chen, Jianjun Yang, Guodong Cong

“…<h4>Methodology</h4>This research uses a crawler to gather data from Sina Weibo. Through opinion mining of Weibo posts on the three-child policy, Weibo users' online opinions on the three-child policy are analyzed from two perspectives: their attention content and sentiment tendency. …”
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Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data by Zhi He, Chengle Zhou, Liwei Zou, Suhong Zhou, Xueqiang Zhao

“…Experiments are conducted on Sina Weibo texts collected from six typical typhoon land-falls in Chinese coastal regions from 2018 to 2023. …”
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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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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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Emoji multimodal microblog sentiment analysis based on mutual attention mechanism by Yinxia Lou, Junxiang Zhou, Jun Zhou, Donghong Ji, Qing Zhang

“…They are widely used in social media platforms such as Sina Weibo, and have become a crucial feature for sentiment analysis. …”
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The Diverse Agendas Surrounding Nathan Chen on China's Social Media During the 2022 Beijing Winter Olympic Games: The Sport, the Athlete, and Nationalism by Qingning Wang

“…This paper analyses the online communication around American figure skater Nathan Chen (陈巍, Chen Wei ) on China's social media platform Sina Weibo during the 2022 Beijing Winter Olympic Games in order to critically unfold the agendas surrounding him. …”
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