通过社会智能分析绘制孤独地图:迈向创建全球孤独地图的一步
Hurmat Ali Shah1, Mowafa Househ2
1Hamad Bin Khalifa University, College of Science and Engineering, Doha, Ad-Dawhah, Qatar.
BMJ health & care informatics
|October 12, 2023
概括
这项研究利用社交媒体绘制了美国孤独的地图,揭示了孤独,社会经济因素和情绪之间的联系. 研究结果为针对性孤独干预的公共卫生策略提供了信息.
科学领域:
- 社会科学 社会科学 社会科学
- 公共卫生 公共卫生
- 计算社会科学 计算社会科学
背景情况:
- 孤独是一个重要的全球公共卫生问题.
- 了解孤独的复杂动态对于有效的干预至关重要.
- 社会智能分析为研究人口层面的孤独提供了新的方法.
研究的目的:
- 开发一个全球孤独地图的概念验证.
- 用社交媒体数据分析孤独的动态.
- 确定孤独,社会经济因素和情绪状态之间的相关性.
主要方法:
- 在2022年10月收集了来自美国的841,796条推特,其中提到与孤独相关的关键词.
- 使用Valence Aware词典进行情感推理 (VADER) 对推文进行情感分析.
- 分析了负面情绪推文中的心理社会语言特征和社会经济/情感主题.
主要成果:
- 确定了孤独,社会经济因素和情感主题之间的重要联系.
- 揭示了积极和消极情绪推特之间的话题变化.
- 在更广泛的社会经济和情感类别中生成城市特定的数据.
结论:
- 社交媒体数据为孤独的主观性质提供了宝贵的见解.
- 这项研究作为全球孤独地图的概念证明.
- 这些发现对公共卫生战略和有针对性的干预措施有影响.
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