{"title":"Unveiling Public Perception and Interpretation of China’s National Self-Image: Analyzing Chinese Online Commentary Data","authors":"Shuo Wang","doi":"10.1177/08944393241253494","DOIUrl":null,"url":null,"abstract":"This research study aims to address the oversight in previous studies that focused on constructing China’s image through the media without investigating how audiences perceive and interpret that depiction. This study aims to investigate how Chinese internet users perceive China’s self-image to understand Chinese citizens’ attitudes and reactions to political propaganda circulated by Chinese authorities online more effectively. To achieve this, we have chosen “This is China,” an online political program that presents China’s self-image. A total of 60,648 comments were collected and analyzed. For the analysis, T-LDA, Sentiment Analysis, and Semantic Network Analysis were employed. The study reveals six significant factors: Real-Life Stress, Patriotic Sentiment, Rational Emotion, Program Style, Presenter’s Public Persona, and Ironic Remarks, all of which shape the public’s perception of China’s image. Specifically, the study finds that Patriotism and Program Style have a positive influence on the audience’s perception, while the other factors hinder a favorable interpretation of the nation’s image.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Computer Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/08944393241253494","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This research study aims to address the oversight in previous studies that focused on constructing China’s image through the media without investigating how audiences perceive and interpret that depiction. This study aims to investigate how Chinese internet users perceive China’s self-image to understand Chinese citizens’ attitudes and reactions to political propaganda circulated by Chinese authorities online more effectively. To achieve this, we have chosen “This is China,” an online political program that presents China’s self-image. A total of 60,648 comments were collected and analyzed. For the analysis, T-LDA, Sentiment Analysis, and Semantic Network Analysis were employed. The study reveals six significant factors: Real-Life Stress, Patriotic Sentiment, Rational Emotion, Program Style, Presenter’s Public Persona, and Ironic Remarks, all of which shape the public’s perception of China’s image. Specifically, the study finds that Patriotism and Program Style have a positive influence on the audience’s perception, while the other factors hinder a favorable interpretation of the nation’s image.
期刊介绍:
Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.