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Relevant bibliographies by topics / Weibo

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Academic literature on the topic 'Weibo'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Weibo"

1

Huang, Meigen, Lihan Zhou, and Yu Wang. "Machine Users Detection on Sina Weibo Platform." MATEC Web of Conferences 232 (2018): 01033. http://dx.doi.org/10.1051/matecconf/201823201033.

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In recent years, the rapid development of Sina Weibo has made it the representative of many Weibo platforms in China. Sina Weibo has attracted large numbers of users in China because of its fast speed of information dissemination, simple use and many star users. More and more Chinese people get news and share information through Sina Weibo. In addition to the normal users, Sina Weibo also appeared on some machine users, these users are generated in order to create false sentiment, which seriously affected the good order of the Sina Weibo platform. By studying normal users and machine users, th

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Hsu, M. H., K. W. Su, C. J. Chang, C. Y. Chen, C. W. Chen, and P. Y. Chung. "A Multi-Stage Method for Deterministic-Statistical Analysis: A Weibo Case and Measurement Studies." Applied Mechanics and Materials 519-520 (February 2014): 1193–96. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1193.

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After many Internet-scale worm incidents in recent years, it is clear that a simple self-propagating worm can quickly spread across the Internet and cause severe damage to our society. Facing this great security threat, we need to build an early detection system. With coming of information society, the most important thing for all countries around the world is to terminate digital divide. Many searches to realize the condition of digital divide utilize diverse methods answering to standards of modern science. It also assess benefit in need of the falling head scheme resolved by government orga

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Xu, Jinghong, Difan Guo, Jing Xu, and Chang Luo. "How Do Multiple Actors Conduct Science Communication About Omicron on Weibo: A Mixed-Method Study." Media and Communication 11, no. 1 (2023): 306–22. http://dx.doi.org/10.17645/mac.v11i1.6122.

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This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediatin

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Florenthal, Bela, and Mike Chen-Ho Chao. "A Cross-Cultural Comparison of a Global Brand's Strategies on Micro-Blogging Sites." International Journal of Online Marketing 6, no. 4 (2016): 54–72. http://dx.doi.org/10.4018/ijom.2016100104.

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Micro-blogging platforms have been used increasingly by multinational companies as a marketing tool. Global corporations utilize platforms such as Twitter and Weio, leading micro-blogging sites, and promote their brand equity and increase engagement with their customers. The question is whether they use these platforms strategically, localizing the content and the structure to meet the needs of their target population. This study uses case study content analysis to begin answering this question. Starbucks posts over a one-month period on Twitter in the U.S. and on Sina Weibo in China were anal

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Xiong, Xu. "Research on Sentiment Analysis of Weibo Comments Based on BERT-BILSTM-Attention Deep Learning." International Journal of Computer Science and Information Technology 5, no. 1 (2025): 102–10. https://doi.org/10.62051/ijcsit.v5n1.09.

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Sentiment analysis of COVID-19-related content on Weibo is of significant importance for studying public sentiment during the pandemic and economic recovery. Due to the lack of well-annotated Chinese Weibo COVID-19 data (such as the Weibo NCOV dataset), as well as the emotional complexity and ambiguity of Chinese Weibo texts, this paper proposes an innovative sentiment analysis model for Chinese Weibo COVID-19 data, namely BERT-BiLSTM-Attention. The model first encodes Weibo comment data using BERT to enhance the semantic feature representation of the text and improve its contextual understand

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Xu, Yuanfang. "Research on Automatic Recognition of New Words on Weibo." Advances in Education, Humanities and Social Science Research 7, no. 1 (2023): 653. http://dx.doi.org/10.56028/aehssr.7.1.653.2023.

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To effectively capture emerging vocabulary on Weibo, this article proposes a new Weibo new word recognition strategy that combines Weibo data and support vector machine. Firstly, select positive and negative example sentences from Weibo corpus and trained corpus with part of speech tagging. Then, the lexical features in these sentences are transformed into vectors, and then trained using support vector machines to obtain classification support vectors for Weibo new words. Finally, input the vectorized features into the already trained support vector machine classifier to identify new Weibo wor

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Zhang, Ke, and Jae Eun Lee. "Using the Social Media Data in Disaster Management: Heavy Rainstorm in Zhengzhou, China." Crisis and Emergency Management: Theory and Praxis 13, no. 9 (2023): 1–14. http://dx.doi.org/10.14251/jscm.2023.9.1.

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This paper aims to study Weibo posts about the 2021 Zhengzhou rainstorm disaster to demonstrate the usefulness of social media data in disaster management. Social media data, as an emerging source of big data is increasingly being used to disseminate important information about disasters to the public. This paper explores the usefulness of Weibo data in disaster management by taking the Zhengzhou rainstorm in 2021 as a case. First, based on web crawlers and Weibo API, this study obtained Weibo posts related to topics of rainstorm. A temporal analysis of related Weibo posts shows that the tempo

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Xu, Yuanfang. "Research on Weibo New Word Recognition based on Weibo Data and Statistical Information." Frontiers in Computing and Intelligent Systems 5, no. 2 (2023): 145–47. http://dx.doi.org/10.54097/fcis.v5i2.13147.

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One of the key challenges in the field of Chinese information processing is the recognition of Weibo new words, which has a profound impact on machine translation and text classification. As Weibo has become the most used social platform for internet users, mining new vocabulary from Weibo data not only helps to deeply understand the data itself, but also provides personalized recommendation services for users. Although a large amount of research has focused on the recognition of Weibo new words, specialized research in this field is still scarce. In this article, we propose a Weibo new word r

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Ma, Wei, Yongjun Qi, Hailin Tang, and Shukun Zhang. "Sentiment analysis of users reposting Weibo under Latent Dirichlet Allocation deep learning model." Journal of Computational Methods in Sciences and Engineering 25, no. 1 (2024): 7–16. https://doi.org/10.1177/14727978241299236.

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The study aims to investigate the integration of artificial intelligence technology into Weibo sentiment analysis, aiming to enhance the effectiveness of Weibo in human-computer interaction education. Initially, the Weibo sentiment dictionary is created, and a conventional model for sentiment analysis of user-forwarded Weibo is introduced, specifically the Latent Dirichlet Allocation (LDA) model. Then, the deep learning models in the field of artificial intelligence, namely, the convolutional neural network (CNN) model and the long short-term memory network (LSTM) model, are proposed. Tencent

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Xu, Yuanfang. "Research on New Word Recognition Based on Weibo Information and SVM." Advances in Engineering Technology Research 7, no. 1 (2023): 577. http://dx.doi.org/10.56028/aetr.7.1.577.2023.

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In order to effectively recognize Weibo new words, this paper proposes a Weibo new word recognition method based on Weibo information and SVM. Firstly, positive and negative samples are extracted from the Weibo corpus and the training corpus annotated with part of speech. Next, the word features of these samples are vectorized and trained through support vector machines to obtain support vectors for new word classification. Finally, it is vectorized and inputted into the trained support vector machine classifier to obtain the recognized Weibo new words. By comparing the experimental results, t

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Dissertations / Theses on the topic "Weibo"

1

xu, kun. "Weibo Addiction in China: An Examination of the Relationships among Expected Outcomes, Weibo Usage, Deficient Self-regulation, and Weibo Addiction." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1365048166.

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Zhao, Jingyang. "Chinese Government, Weibo, Crisis Management." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1368019728.

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Zhao, Xun. "Impact of multimedia in Sina Weibo." Thesis, Singapore Management University (Singapore), 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1548076.

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<p> Multimedia contents such as images and videos are widely used in social network sites nowadays. Sina Weibo, a Chinese microblogging service, is one of the first microblog platforms to incorporate multimedia content sharing features. This thesis provides statistical analysis on how multimedia contents are produced, consumed, and propagated in Sina Weibo. Based on 230 million tweets and 1.8 million user profiles in Sina Weibo, we study the impact of multimedia contents on the popularity of both users and tweets as well as tweet life span. In addition to consider the multimedia impact on popu

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Li, Shengfei. "An Analysis of Organ Donation Presentations on Weibo." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7328.

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This thesis analyzes the presentation of organ donation organization on Weibo. This study used content analysis to find out the Love.Hope organ donation organization’s main content of Weibo’s content. The main content includes six themes. The theme of popularizing organ donation knowledge is the majority. Through analyzing the correlation of content of each themes with shares, likes, and comments. It is concluded that people are more inclined to engage with Weibo posts with popularization of organ donation knowledge and stories of organ donors and recipients, and people also concern about the

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Ye, Peiyu. "Weibo and local governments in China : contributions towards good governance?" Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57746.

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Though some studies have focused on how media is an essential component of good governance, there is very little existing literature on the most recent media platform – social media – and the realization of good governance in China. This thesis tries to fill in the gap and to demonstrate the ways local governments in China have used Weibo – the most popular Chinese social media platform – to improve their governing and to fulfill the criteria of “good governance” proposed by different parties internationally. This thesis uses the case study of a local government Weibo account – the Ma’anshan R

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Li, Xin. "Social Media Communication and Rhetoric in the Age of Weibo." Thesis, Högskolan för lärande och kommunikation, Högskolan i Jönköping, HLK, Medie- och kommunikationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-37324.

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The rapid rise and popularization of social media has a profound impact on the society today. The emergence of the social media broadens the channels of communication and the people's vision. Citizens can freely express information such as words and pictures, and freely exchange their views on social media. This study will focus on Sina Weibo which is the most popular social media in China. The purpose of this research is to study how to attract so much attention by protagonist‘s post and this certain hot event. Simultaneously, it also focuses on attitude and opinions of audience through the c

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Song, Depei. "Migrants in Shanghai: An Analysis of Verbal Pejoration in Weibo." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23775.

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This thesis examines 硬盘Yingpan ‘hard drive,’ a newly created online derogatory code word referring to the migrants in Shanghai against the historical background of discrimination of migrants in Shanghai. Based on corpus data from Chinese social media, I examine the usage patterns of this derogatory word. The results show four salient speech acts in which this word is used. These are 1) complaints about migrants, 2) abusive commands, 3) self-victimization of the locals, and 4) lamentation over the loss of Shanghai identity. These usage patterns reflect the impacts of societal changes as a resul

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Fan, Lu. "Existential Journalism: Ethical Theory for Citizen Journalists on Weibo in China." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1736.

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As one of the most popular social media platforms in China, Sina Weibo has created an environment for the Chinese people to share opinions and post information on events they have witnessed. Thus, Weibo users can be citizen journalists, though most of them have played the role unconsciously. Although Weibo has existed for about six years, citizen journalism is still new to most Chinese people. Some scholars have studied Weibo from the perspective of public opinion or better governance rather than from its ethical demands and influence. This paper discusses the ethical problems of citizen j

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Wang, Yunchun, and Anna Ivanova. "Social Media Strategy in the Chinese Market : Weibo Platform Case Study." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-230193.

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Problematisation Previous study has indicated that social media is an effective marketing tool. Moreover, Weibo, a Chinese social network contains large potential for the companies. However little theoretical guidance exists on what are the key features of Weibo marketing. Purpose and research question The purpose of this study contributes to a better understanding of the social media by analyzing the advantages and disadvantages of Weibo for Western companies that expect to launch a successful marketing strategy. Methodology This research is done through qualitative approach and is of an abdu

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Ma, Luyue. "A Comparative Analysis of Weibo and Xinhua in Framing Chinese Civic Engagement." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1363569701.

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Books on the topic "Weibo"

1

Shuxi, Chen, ed. Weibo. Zhi ku wen hua gu fen you xian gong si, 1995.

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1864-1920, Weber Max, ed. Weibo lun Zhongguo chuan tong fa lü: Weibo bi jiao she hui xue de pi pan. San min shu ju, 2003.

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Yu, Qiu, ed. Jiang bei yi guai Wu Weibo ji shi. Sheng huo, du shu, xin zhi Shanghai san lian shu dian, 1996.

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4

Zhongrong, Xu, ed. Lang man pai de xian qu: Shubote, Weibo, Boliaozi, Mende'ersong. Hebei jiao yu chu ban she, 2004.

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Feng, Wei. Discursive Constructions of Corporate Identities by Chinese Banks on Sina Weibo. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4469-4.

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Zhongrong, Xu, ed. Lang man pai yue qu shang xi: Shubote, Weibo, Boliaozi, Mendeersong. Hebei jiao yu chu ban she, 2004.

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He, Juan. Weibo News Package: a Systemic Functional Perspective on the Text-Reader Relationship. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75492-0.

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Xie, Hongren. She hui xue juan da: Kan da shi Weibo ru he wu dao ren lei si wei. Wu nan tu shu chu ban gong si, 2015.

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Wang, Yanshu, and Stefania Vicari. Digital Methods to Explore Public Opinion on Chinese Social Media: Learning About Lai Chi Ying’s Arrest on Weibo. SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529603279.

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Duan, Bingruo. Impact of Social Media Marketing on the Popularity of Museum Programs in China - Use Weibo as an Example. [publisher not identified], 2015.

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Book chapters on the topic "Weibo"

1

Hu, Xiao, Chen Qiao, and King-wa Fu. "Weibo." In The SAGE Handbook of Social Media Research Methods. SAGE Publications Ltd, 2016. http://dx.doi.org/10.4135/9781473983847.n35.

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Han, Eileen Le. "Weibo." In The Routledge Encyclopedia of Citizen Media. Routledge, 2020. http://dx.doi.org/10.4324/9781315619811-73.

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Guanzhou, Qiu, and Xu Kuangdi. "Hu Weibo." In The ECPH Encyclopedia of Mining and Metallurgy. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-0740-1_1212-1.

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Li, Zhiqi, Weidong Fang, and Wuxiong Zhang. "Weibo-FA: A Benchmark Dataset for Fake Account Detection in Weibo Platform." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-96-0576-7_13.

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Zhang, Shixin Ivy. "China’s Social Media Platforms: Weibo." In Media and Conflict in the Social Media Era in China. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7635-5_2.

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Litvak, Marina, Natalia Vanetik, and Lei Li. "Summarizing Weibo with Topics Compression." In Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77116-8_39.

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Yangpeng, Zhu, and Li Peng. "Sina Weibo User Influence Research." In Recent Developments in Data Science and Business Analytics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72745-5_55.

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Xiao, Lu, and Sijing Chen. "Misinformation in the Chinese Weibo." In Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49570-1_28.

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Han, Chong. "Identity Construction in Weibo Communication." In Contemporary Chinese Discourse and Social Practice in China. John Benjamins Publishing Company, 2015. http://dx.doi.org/10.1075/scld.4.09han.

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Jiang, Ying. "Foreign Embassies’ Use of Weibo." In Social Media and e-Diplomacy in China. Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-59358-0_4.

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Conference papers on the topic "Weibo"

1

Cao, Renjie, Miaoyan Hu, Jiahan Wei, and Baha Ihnaini. "The Moral Foundations Weibo Corpus." In Proceedings of the 1st Workshop on NLP for Science (NLP4Science). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nlp4science-1.13.

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Xu, Jun, Songnan Yu, Xiaoyu Sean Lu, Di Wu, and Qi Kang. "Investigating Labeled Cyberbullying Incidents on the Weibo Social Network." In 2024 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2024. https://doi.org/10.1109/icnsc62968.2024.10759933.

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Liu, Bin, Jingyuan Zhang, Qiang Liu, et al. "Reading-Weibo: A Sina Weibo Oriented Data Mining System." In 2015 International Industrial Informatics and Computer Engineering Conference. Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.155.

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Hu, Yong, Heyan Huang, Anfan Chen, and Xian-Ling Mao. "Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo." In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.nlpcovid19-2.34.

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Di Li, Jianwei Niu, Meikang Qiu, and Meiqin Liu. "Sentiment analysis on Weibo data." In 2014 IEEE Computing, Communications and IT Applications Conference (ComComAp). IEEE, 2014. http://dx.doi.org/10.1109/comcomap.2014.7017205.

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Yingcai, Ma, Niu Yan, Ren Yan, and Xue Yibo. "Detecting Spam on Sina Weibo." In 1st International Workshop on Cloud Computing and Information Security. Atlantis Press, 2013. http://dx.doi.org/10.2991/ccis-13.2013.93.

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Chen, Kan, Liang Chen, Peidong Zhu, and Yueshan Xiong. "Unveil the Spams in Weibo." In 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom). IEEE, 2013. http://dx.doi.org/10.1109/greencom-ithings-cpscom.2013.159.

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Guo, Zhengbiao, Zhitang Li, Hao Tu, and Long Li. "Characterizing User Behavior in Weibo." In 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing (MUSIC). IEEE, 2012. http://dx.doi.org/10.1109/music.2012.18.

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Yang, Shijie, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, and Qi Tian. "A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/548.

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Building intelligent agents to generate realistic Weibo comments is challenging. For such realistic Weibo comments, the key criterion is improving diversity while maintaining coherency. Considering that the variability of linguistic comments arises from multi-level sources, including both discourse-level properties and word-level selections, we improve the comment diversity by leveraging such inherent hierarchy. In this paper, we propose a structured latent variable recurrent network, which exploits the hierarchical-structured latent variables with stochastic attention to model the variations

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Xiong, Xue, and Lin Li. "Analysis of User Interaction Behavior on Sina Weibo under the Context of Intelligent Technology." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003206.

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As one of the prevailing social media in China, Sina Weibo maintains its position by utilizing artificial intelligence technology in recent years. This study explores the interaction behaviors of Sina Weibo users in terms of following, commenting, and reposting by social network analysis and discusses the intelligent technology applied on the platform in order to understand the characteristics of user behavior under intelligent background. Based on analysis of data collected from Sina Weibo, it has been proved that the density of the following relationships between users is not particularly cl

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