美国和韩国的COVID-19疫苗接种公共话语中的跨文化差异:使用自然语言处理进行跨部门分析
Sangpil Youm1, Sou Hyun Jang2, Haewoon Kwak3
1Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
JMIR formative research
|March 5, 2026
概括
关于COVID-19疫苗的公共话语揭示了美国和韩国之间共享的信息需求,但不同的情绪模式. 社交媒体数据为人们对疫苗的看法和沟通策略提供了见解.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析 社交媒体分析
- 计算社会科学 计算社会科学
背景情况:
- 尽管COVID-19疫苗至关重要,但公众仍然对其有效性,副作用和错误信息存在担忧.
- 传统的研究方法 (调查) 在捕捉广泛的公共话语方面存在局限性.
- 社交媒体平台为了解公众对COVID-19疫苗接种的看法提供了一个有价值的,自然主义的来源.
研究的目的:
- 在美国和韩国的问答网站上调查COVID-19疫苗话语的跨国差异和相似之处.
- 识别不同信息需求,情绪模式,以及随着时间的推移公众的看法.
- 利用社交媒体数据,更深入地了解疫苗沟通动态.
主要方法:
- 从2020年6月到2021年6月,分析了Quora (美国) 和Naver Knowledge-iN (韩国) 的COVID-19疫苗相关问题和答案.
- 应用自然语言处理 (NLP) 技术,包括隐藏的迪里克莱特分配 (LDA),Top2Vec,BERT和ELECTRA用于主题和情绪分析.
- 利用混合主题建模方法和基于变压器的模型来分类每个平台的3952个问答对.
主要成果:
- 确定了五个共享信息需求:疫苗效应,变种,政府政策,国际旅行和疫苗类型.
- 韩国唯一专注于疫苗接种预约和与学校相关的教育.
- 在大多数话题中,美国的情绪主要是负面的,而韩国则表现出主要是积极的情绪,特别是在他们国家疫苗推出后.
结论:
- 关于COVID-19疫苗的公众看法和信息需求存在重大跨国差异.
- 文化背景,政府信任和信息环境塑造了这些不同的模式.
- 社交媒体问答数据对公共卫生研究至关重要,需要定制的,特定于平台的沟通策略.
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