使用BERTopic绘制日本与中国相关的推特话语 (2010-2024) 的地图
1Graduate School, Xi'an International Studies University, Xi'an, China.
PloS one
|February 18, 2026
概括
日本公众对中国的看法越来越负面,专注于外交,卫生,经济和文化. 情绪因主题而异,表现出受事件和主题特征影响的意见转变.
科学领域:
- 计算社会科学 计算社会科学
- 数字公共领域分析 数字公共领域分析
- 中日关系中日关系
背景情况:
- 由于中国的影响,日本公众对中国的看法至关重要.
- 我们对这些感知如何在数字空间中演变的理解有限.
- 大规模的社交媒体数据为分析提供了新的途径.
研究的目的:
- 追踪日本人对中国观念的动态演变.
- 分析随着时间的推移,公众的注意力和情绪趋势.
- 了解主题和情绪在塑造公众论中的相互作用.
主要方法:
- 利用了来自日本 (2010-2024) 的超过一百万条与中国有关的推特数据集.
- 采用BERTopic主题建模来确定关键讨论主题.
- 应用大型语言模型驱动的情感分析来衡量情感色调.
主要成果:
- 公众对中国的关注不断增加,涵盖外交,环境,经济和文化.
- 对中国的总体情绪主要是负面的,在特定的话题中,有中立和积极的情绪.
- 话题与情感的联系揭示了不同的情感倾向,受外部事件和话题性质的影响.
结论:
- 日本公众对中国的看法呈现出动态的演变,受到事件和固有的话题特征的影响.
- 对社交媒体的计算分析为论形成机制提供了重要的见解.
- 这些发现对理解和导航中日关系和跨国话语具有重要意义.
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