在Twitter上绘制肥胖和糖尿病的代表性:意大利的案例
Francesca Romana Lenzi1, Ferdinando Iazzetta2
1Laboratory of Psychology and Social Processes in Sport, Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Frontiers in sociology
|July 3, 2023
概括
社交媒体数据揭示了公众对糖尿病和肥胖的不同看法. 使用内容和情绪分析分析推特可以为这些慢性疾病的公共卫生策略提供信息.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析
- 计算社会科学 计算社会科学
背景情况:
- 公共卫生监测监测人口健康,以确定健康问题.
- 社交媒体平台越来越多地用于公共卫生促进和监测.
- 了解关于糖尿病和肥胖等健康状况的公共话语至关重要.
研究的目的:
- 调查社交媒体 (Twitter) 上围绕糖尿病和肥胖症的表现和情绪.
- 探索糖尿病和肥胖之间的联系和相关性,如在推特中所讨论的那样.
- 评估内容和情绪分析对来自社交媒体的公共卫生见解的有用性.
主要方法:
- 通过学术应用程序编程接口 (API) 提取数据.
- 应用内容分析来识别概念及其关系 (例如,糖尿病和肥胖).
- 利用情感分析来衡量与所讨论的健康概念相关的情绪基调.
主要成果:
- 在推特中确定了糖尿病和肥胖之间的各种表示和相关性.
- 聚合了与这些概念相关的基本上下文,构建了它们的叙事和表示维度.
- 展示了使用这些方法来分析社交媒体上复杂的健康主题的可行性.
结论:
- 使用内容和情绪分析进行社交媒体分析,为公众对糖尿病和肥胖的理解提供了有价值的见解.
- 这种方法可以增强人们对虚拟平台如何影响围绕健康的讨论,特别是对弱势群体的了解.
- 调查结果可以为制定有针对性的公共卫生战略提供信息和便利.
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