Toward an ecosystem of non-fungible tokens from mapping public opinions on social media by Yunfei Xing, Justin Z. Zhang, Yuming He, Yueqi Li

“…Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data. Weibo users predominantly engaged in reviews and critiques, whereas Twitter and Reddit users emphasized personal experiences and perceptions. …”
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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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Rumor detection in social media based on eahanced Transformer by Honghao ZHENG, Yinuo HAO, Hongtao YU, Shaomei LI, Yiteng WU

“…With the rapid development of the Internet, social media is increasingly integrated into all aspects of people’s daily life.Social media has gradually become a tool and even a platform for people to share opinions, insights, experiences and viewpoints.It is the main method for people to obtain and share information as well as express and exchange opinions.Currently, social media mainly includes social networking sites, Weibo, Twitter, blogs, forums, podcasts and so on.Due to the openness of social media, the user scale is large and the sources are complex and numerous, then all kinds of rumors and false information may be generated easily.Rumors on social media influence netizens’ understanding of events and shake the stability of society.Therefore, how to accurately and efficiently detect rumors has become an urgent problem to be solved.Existing Transformer based social media rumor detection models ignored the text location information.To effectively extract text location information and make full use of text potential information, a rumor detection model in social media was proposed and it was based on the enhanced Transformer.This model enhanced the traditional Transformer from two aspects of relative position and absolute position.It captured the direction information and distance information of the text using learnable relative position coding and mapped words from different positions to different feature spaces using absolute position coding.Experimental results show that, compared with the best benchmark model, the accuracy of the proposed model on Twitter15, Twitter16 and Weibo datasets is enhanced by 0.9%, 0.6% and 1.4%, respectively.Experimental results verify the effectiveness of the proposed location coding.And the enhanced Transformer based on location coding can significantly improve the effects of social media rumor detection.…”
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Research on Solution of Mobile Application Always Keeping Online Without Heartbeat by Yao He, Rong Zhang

“…Abastract:Along with the mobile application of the increasingly rich, especially widely used as WeChat, QQ and Weibo, the wireless network air interface signaling resource consumption issues highlighted, while the terminal energy consumption. …”
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Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors by Yang Zhou, Haoyang Zeng, Wei Zhang, Yuguang Zhang

“…Validation on three NER datasets—Weibo, Youku, and Chinese literature—demonstrates that the proposed model is both feasible and effective. …”
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Price response to consumer attention during major animal epidemics in developing markets: perspectives from the influence of information and emotion contagion by Xia Li, Xia Li, Jing Ji

“…Web scraping techniques and social network analysis were employed. Weibo user repost and emotion transmission networks were constructed, integrating social network structures into the analytical framework to comprehensively analyze the problem. …”
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Operation Management Mode Based on New Media Technology by Peng Han

“…For tremendous impact has brought by the rapid development of the new media（such as Weibo，We-chat，micro video，e.g.）and the mobile internet，the difficulties the operators faced in the new media field and the way to deal with the challenges were analyzed.The methods and procedures for the new media analysis technique were proposed.The application of the new media technology in the marketing support analysis in several cases was elaborated.The function implementation of operational management and complaint management from the perspective of operational management were introduced，and then the system construction scheme and implementation effect for the new media operation and management system development were presented.…”
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Chinese NER based on improved Transformer encoder by Honghao ZHENG, Hongtao YU, Shaomei LI

“…In order to improve the effect of chinese named entity recognition, a method based on the XLNETTransformer_P-CRF model was proposed, which used the Transformer_P encoder, improved the shortcomings of the traditional Transformer encoder that couldn’t obtain relative position information.Experiments show that the XLNET-Transformer_P-CRF model achieves 95.11%, 80.54%, 96.70%, and 71.46% F1 values on the four types of data sets: MSRA, OntoNotes4.0, Resume, and Weibo, which are all higher than other mainstream chinese NER model.…”
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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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A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis by Chunhua Ju, Zhiyi Huang, Fuguang Bao

“…In order to recommend music conforming to the people’s sentiment state in real time，a novel music recommendation method combining music sub-personality and social network behavior analysis was proposed.Through sentiment analysis of the users’ words and sentences which was released on Weibo and other social network，the method calculated the users’ music preference in a sentiment state，the most suitable music was recommend to users in that sentiment state.Experimental results show that the proposed method can alleviate the effect of user data sparsity on the recommendation results.…”
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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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Multi-threshold algorithm about image segmentation based on polynomial uniform approximation by Yan-jun WEI, Bo-qin FENG, Wei-guo WU

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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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Online News, Public Health and Misinformation: Their Impact on Foreign News Consumers Living in China by Weinan Yuan

“…During a public health emergency, like the COVID-19 pandemic, the need for accurate and timely health information has become more urgent, especially as the increasing amount of misinformation on digital platforms (e.g. WeChat, Weibo, websites) has complicated the situation and continues to create cultural barriers for its audience. …”
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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

“…Intentions significantly predict users’behavior on social media platforms such as Weibo and Douyin. Moreover, empathetic willingness and social identity fully mediate the effects of subjective norms, perceived behavioral control, and attitudes on intentions. …”
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Image tampering localization model for intensive post-processing scenarios by TAN Shunquan, LIAO Guiying, PENG Rongxuan, HUANG Jiwu

“…Addressing the challenges of blurred or destroyed tampering traces presented by lossy operations such as image compression and scaling on images within social platforms like WeChat and Weibo, an adversarial image tampering localization model was introduced. …”
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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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Performance Improvement with Reduced Number of Channels in Motor Imagery BCI System by Ali Özkahraman, Tamer Ölmez, Zümray Dokur

“…The findings in this study are tested on two datasets: dataset 1, the BCI Competition IV Dataset IIa (4-class MI), and dataset 2, the Weibo dataset (7-class MI). The performance for dataset 1, utilizing 3 EEG and 3 EOG channels (6 channels total), is of 83% accuracy, while dataset 2, with 3 EEG and 2 EOG channels (5 channels total), achieves an accuracy of 61%, demonstrating the effectiveness of the proposed channel reduction method and deep learning model.…”
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