五大人格特征和物质使用在社交媒体话语中的交叉点:人工智能驱动的观察性研究
Julina Maharjan1, Ruoming Jin1, Jianfeng Zhu1
1Department of Computer Science, Kent State University, 800 East Summit Street, Kent, OH, 44242, United States, 1 3305931365.
Journal of medical Internet research
|December 19, 2025
概括
社交特征,如和性强烈预测在线讨论中的物质使用 (SU),而神经病则显示出保护作用. 这些发现挑战了传统模式,并突出了数字物质使用的社会驱动因素.
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
- 公共卫生 公共卫生
背景情况:
- 人格特征影响物质使用 (SU),但它们在数字话语中的作用未得到充分研究.
- 随着COVID-19大流行,在线参与度和SU率有所提升,提供了一个独特的数据源.
- 数字话语分析为公共卫生干预提供了超越传统自我报告方法的见解.
研究的目的:
- 评估大五个人格特征与SU话语的关联,从2019-2021年到2021年的变化.
- 分析个性特征如何预测SU,物质类型,情绪和人口统计.
- 调查大流行对这些协会的影响.
主要方法:
- 分析了数以百万计的公共社交媒体帖子从2019-2021年.
- 利用自然语言处理和深度学习来识别SU帖子并提取特征,情绪和人口统计数据.
- 采用趋势分析,物流回归,相关性和主题建模来阐明关系.
主要成果:
- 适应性 (OR 4.04) 和外向性 (OR 3.22) 是强有力的SU的积极预测指标.
- 神经病变意外地作为一种保护因素 (OR 0.29) 对SU.
- SU话语与社会背景 (例如,社交饮酒) 有关,而不是单独应对.
结论:
- 在线SU表达更多地与社会特征有关,而不是负面情绪,挑战传统模型.
- 神经病的保护作用表明,数字环境可能会改变既定的风险概况.
- 这些发现对于完善数字时代的计算公共卫生监测和干预至关重要.
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