使用ChatGPT对有关疫苗接种的互联网帖子进行情绪分析,并与韩国的实际疫苗接种率进行比较
1Department of Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang-si, Gyeonggi-do, 10444, South Korea.
F1000Research
|June 23, 2025
概括
在线情绪分析显示,消极的COVID-19疫苗意见和疫苗接种率之间存在强烈联系. 社会不信任助长了消极的态度,影响了公共卫生战略.
科学领域:
- 公共卫生 公共卫生
- 计算社会科学 计算社会科学
- 情绪分析 情绪分析
背景情况:
- 研究了在线公众情绪与COVID-19疫苗接种率之间的关系.
- 检查了互联网帖子,以了解疫苗意见背后的态度和原因.
研究的目的:
- 分析在线情绪与COVID-19疫苗接种率之间的相关性.
- 为了确定疫苗犹或在线表达的接受的根本原因.
主要方法:
- 利用ChatGPT进行情绪分析,对854个来自Blind平台的相关帖子进行分析 (共计500,558个帖子中).
- 分类态度 (积极,消极,中立) 和分析意见的原因.
- 与实际的COVID-19疫苗接种数据相关联的分类情绪.
主要成果:
- 83%的帖子表达了对COVID-19疫苗的负面态度,5%是积极的,12%是中立的.
- 在总后计数和疫苗接种率之间发现了显著的正相关性.
- 观察到负面疫苗帖子的数量和疫苗接种率之间存在很高的相关性,这与社会不信任和感知压迫有关.
结论:
- 社交媒体上公众对COVID-19疫苗的看法显著影响疫苗接种行为.
- 研究结果为制定有针对性和有效的公共卫生疫苗接种策略提供了洞察力.
- 了解在线情绪对于公共卫生沟通和政策至关重要.
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