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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 11
3201-3214

Review of research on stance detection in social media

Zhao Xiaobinga,b,c
Yin Zhaoninga,b,c
Wang Zihaoa,b,c
Zhang Yuanshuoa,b,c
Chen Boa,b,c
a. Dept. of Information Engineering, b. National Language Resource Monitoring & Research Center of Minority Languages, c. Language Information Security Research Center Institute of National Security MUC, Minzu University of China, Beijing 100081, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0043

Abstract

With the continuous development of the Internet, people widely use social media platforms such as Weibo and Twitter, resulting in a huge amount of user generated content every day. It is important to analyze the user's attitude based on the user generated content for hot/focused topics as it can help relevant stakeholders make informed decisions. Therefore, the goal of the stance detection task is to determine the user's stance(favor/against/neutral) on the target according to the specified target and the given content. This paper described the stance detection tasks, applications, related data resources and related works. For stance detection tasks, in addition to the previous single/multiple/cross target stance detection tasks, this paper also organized the works related to zero/small sample stance detection. For data resources, this paper gave a detailed introduction to the data resources published in recent years. For stance detection methods, in addition to traditional machine learning methods, neural networks and other methods, this paper also sorted out the methods based on the pre training model. Finally, it summarized the development status of stance detection, and looked forward to the possible research hotspots in the future.

Foundation Support

国家社会科学基金重大项目(22&ZD035)
国家语委资助项目(ZDI145-61)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0043
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: Survey
Pages: 3201-3214
Serial Number: 1001-3695(2024)11-001-3201-14

Publish History

[2024-07-04] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

赵小兵, 尹召宁, 王子豪, 等. 面向社会媒体的立场检测研究综述 [J]. 计算机应用研究, 2024, 41 (11): 3201-3214. (Zhao Xiaobing, Yin Zhaoning, Wang Zihao, et al. Review of research on stance detection in social media [J]. Application Research of Computers, 2024, 41 (11): 3201-3214. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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