在睡眠场景中,从社交网络内容中探索生活的意义
Qi Li1, Mengyao Wang1, Junjie Yan1
1Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China.
Frontiers in public health
|November 27, 2025
概括
人工智能正在利用社交媒体数据探索生活的意义 (MIL). 这项研究确定了与MIL相关的心理因素,可能有助于心理健康干预.
科学领域:
- 计算社会科学 计算社会科学
- 心理学 心理学 心理学
- 人工智能的人工智能
背景情况:
- 生命的意义 (MIL) 是一个基本的人类关注,在各种学术领域进行了探索.
- 人工智能 (AI) 正在成为研究复杂的人类经验的新工具,如MIL.
研究的目的:
- 利用社交媒体数据和人工智能来评估MIL及其相关因素,无论是在个人还是团体层面.
- 弥合基础的MIL理论,并验证新的评估方法.
主要方法:
- 编制了大量的微博帖子 (N=7,588,597) 和用户调查答案 (N=448) 的数据集.
- 利用深度学习模型进行MIL组件评估和语义依赖图算法来识别相关因素.
- 采用ChatGPT进行数据注释,并构建子网络来分析因子相互关系和MIL差异.
主要成果:
- 经过验证的人工智能驱动的方法来评估MIL组件和相关因素.
- 成功地弥合和突出了两个基本的MIL理论之间的相互联系.
- 确定了与MIL相关的关键心理风险因素.
结论:
- 这项研究证明了人工智能和社交媒体数据在理解生活意义方面的实用性.
- 识别的心理风险因素为潜在的心理健康问题提供了洞察力.
- 调查结果可能有助于制定针对心理健康的有针对性的干预措施.
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