检查围绕麻疹疫苗接种的普遍负面情绪:2017年至2022年推特帖子的无监督深度学习
Qin Xiang Ng1,2, Yu Qing Jolene Teo3, Chee Yu Kiew4
1Health Services Research Unit, Singapore General Hospital, Singapore, Singapore.
Cyberpsychology, behavior and social networking
|June 26, 2023
概括
对超过155,000条推特的分析显示,关于麻疹疫苗接种的负面情绪源于反疫苗言论,错误信息和COVID-19政策反应. 解决疫苗犹需要理解公众的担忧.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析 社交媒体分析
- 疫苗学 疫苗学 疫苗学
背景情况:
- 麻疹疫苗接种面临着越来越多的犹,导致疫情爆发.
- 了解公众情绪对于有效的公共卫生战略至关重要.
研究的目的:
- 通过对Twitter数据的机器学习来调查围绕麻疹疫苗接种的负面情绪.
- 确定导致疫苗犹和拒绝的关键主题.
主要方法:
- 从2017年1月到2022年12月,对155,363条负面的英语推特进行分析.
- 利用来自变压器的双向编码器表示 (BERT) 和SieBERT进行情绪分析.
- 应用BERTopic建模和定性主题分析来识别主题和主题.
主要成果:
- 确定了四个主要主题:反疫苗情绪,错误信息,COVID-19政策转移和疫情反应.
- 低语言会使犹不决的人疏远.
- 错误信息和不确定的偏见推动了消极的看法.
结论:
- 负面的言论和错误信息显著影响麻疹疫苗的犹.
- 需要进一步的研究来理解和解决疫苗犹人口的担忧.
- 研究结果强调了在公共卫生信息传递中需要 empathetic 沟通.
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