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展示孤独的社会智能分析框架:信息病理学方法
Hurmat Ali Shah1, Mowafa Househ2, Loulwah Alsumait3
1The School of Computing and Engineering, Bournemouth University, Poole, United Kingdom.
Online journal of public health informatics
|January 15, 2026
概括
这项研究引入了利用社交媒体和在线数据分析孤独感的新框架. 该方法有效地捕捉了孤独的动态,补充了传统的自我报告方法,以获得全面的理解.
科学领域:
- 计算社会科学 计算社会科学
- 数字健康数字健康
- 心理社会研究 心理学研究
背景情况:
- 孤独是一种动态而普遍的心理社会问题.
- 传统的孤独研究方法通常依赖于自我报告措施.
- 新兴的数字数据来源为研究孤独提供了新的途径.
研究的目的:
- 通过社交媒体和在线数据引入一个全面的研究孤独的框架.
- 通过案例研究来证明框架的实用性.
- 突出数字数据在孤独研究中的有效性.
主要方法:
- 从各种在线平台收集数据,包括X (以前的Twitter) 和Reddit.
- 使用谷歌趋势和新闻API等工具进行趋势分析.
- 分类和分析各种数据模式,以全面理解孤独感.
主要成果:
- 该框架成功地收集了与孤独相关的各种数据.
- 使用谷歌趋势和新闻API识别了区域孤独趋势.
- 情感分析和社会智能揭示了行为数据和与个人情感和社会经济因素的相关性.
结论:
- 拟议的框架为传统的心理社会孤独方法提供了有价值的补充.
- 整合在线数据为孤独的动态提供了新的见解.
- 这种数字数据驱动的方法增强了对孤独的全面理解.
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