使用Reddit数据来完善疫苗信息,以实现计划-做-研究-行动的通信方法
Neil Seeman1, Alex Luscombe2, Jamie Duncan2
1A senior fellow and adjunct professor at the Institute of Healthcare Policy, Management and Evaluation at the University of Toronto in Toronto, ON.
Healthcare quarterly (Toronto, Ont.)
|March 14, 2024
概括
分析Reddit上的在线讨论揭示了加拿大为COVID-19疫苗接种的常见原因. 机器学习可以帮助实时定制公共卫生信息,以改善疫苗沟通.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析 社交媒体分析
- 计算语言学 计算语言学
背景情况:
- 像Reddit这样的在线论坛提供了对公众情绪的洞察力.
- 了解疫苗决策对于公共卫生战略至关重要.
- 在不同的人群中,COVID-19疫苗的犹和接受程度各不相同.
研究的目的:
- 分析在Reddit上披露的COVID-19疫苗接种的加拿大理由.
- 识别用于表达疫苗接种决定的常用短语.
- 探索机器学习在公共卫生信息传递方面的潜力.
主要方法:
- 在Reddit上检查了266个加拿大的subreddits.
- 评估了79个与COVID-19疫苗接种相关的英语短语.
- 应用自然语言处理和机器学习技术.
主要成果:
- 确定了影响加拿大人接种疫苗决策的关键主题和短语.
- 揭示了疫苗接种的各种动机.
- 证明了分析大规模在线讨论以获得公共卫生见解的可行性.
结论:
- 在线论坛数据可以为公共卫生沟通策略提供信息.
- 机器学习为实时分析和调整公共卫生信息提供了一个有前途的工具.
- 像计划-做-研究-行动这样的代方法可以提高疫苗传播的有效性.
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