数字信息空间中中文的国际形象：抖音评论的文本分析

作为现代社会信息传播最重要的渠道之一，短视频平台在塑造和传播语言形象方面发挥着不可或缺的作用。 当前研究主要聚焦于推测性讨论，少数实证研究探讨数字信息空间中汉语（IICL）的国际形象。 针对这一空白，本研究利用Python收集高互动TikTok视频中的评论作为研究数据。 随后，采用LDA主题模型和TextBlob情感分析等定量方法，识别IICL的五个关键主题：语言结构、学习体验、社会互动、实用价值和政治文化方面。 研究结果显示，国际观众情绪倾向于中性至积极，且全球对中文的接受度正在提升。 此外，定性内容分析表明，受众因素、监管影响和刺激共同塑造了对汉语的主要和次级认知，逐步构建出一个日益深入全球文化理解的多维形象。 最后，研究提出了优化数字信息空间IICL的建议。

As one of the most critical channels for information dissemination in modern society, short-video platforms play an indispensable role in shaping and disseminating language images. Current research has primarily focused on speculative discourse, with only a handful of empirical studies exploring the international image of Chinese (IICL) within digital information spaces. To fill this research gap, this study collects comments from high-engagement TikTok videos as research data using Python. Subsequently, quantitative methods including the LDA topic model and TextBlob sentiment analysis are employed to identify five core themes of IICL: linguistic structure, learning experience, social interaction, practical value, and political and cultural dimensions. The study's findings demonstrate that the sentiment of international audiences leans toward neutral to positive, and global acceptance of the Chinese language is on the rise. Additionally, qualitative content analysis reveals that audience-related factors, regulatory influences, and triggering stimuli collectively shape the primary and secondary perceptions of Chinese, gradually constructing a multi-dimensional image that progressively deepens global cultural comprehension. Finally, this study proposes actionable suggestions for optimizing the IICL in digital information spaces.