Unveiling Public Perception and Interpretation of China’s National Self-Image: Analyzing Chinese Online Commentary Data

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Social Science Computer Review Pub Date : 2024-05-13 DOI:10.1177/08944393241253494
Shuo Wang
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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.
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揭示公众对中国国家自我形象的认知和解读:分析中文网络评论数据
以往的研究侧重于通过媒体构建中国形象,却没有调查受众如何感知和解读这一描述,本研究旨在解决这一疏忽。本研究旨在调查中国网民如何看待中国的自我形象,从而更有效地了解中国公民对中国官方网络政治宣传的态度和反应。为此,我们选择了《这就是中国》这一展示中国自我形象的网络政治节目。我们共收集并分析了 60,648 条评论。分析中使用了 T-LDA、情感分析和语义网络分析。研究揭示了六个重要因素:现实生活压力、爱国情感、理性情绪、节目风格、主持人的公众形象和讽刺性言论,所有这些因素都影响着公众对中国形象的看法。具体而言,研究发现爱国主义和节目风格对受众的感知有积极影响,而其他因素则阻碍了对国家形象的有利解读。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
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.
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