情绪是否已经恢复到大流行前的水平? 使用2019年至2022年美国大学subreddit数据进行情绪分析
1Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, United States of America.
PloS one
|March 15, 2024
概括
COVID-19大流行情绪显示,紧急情况后的局部恢复. 虽然在疫情期间负面情绪增加了,但现在它们更接近疫情前的水平,这表明公众情绪正在变化.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 数据科学数据科学数据科学
背景情况:
- COVID-19 疫情对个人和社会的情绪状态产生了重大影响.
- 恢复大流行前的活动促使人们对不断变化的公众情绪进行审查.
- 了解情绪变化对于评估危机后的社会福祉至关重要.
研究的目的:
- 分析从疫情前到紧急情况后的公共情绪的变化.
- 为了确定当前的情绪水平是否已经回到大流行前的基线.
- 量化情绪和影响因素的时间演变.
主要方法:
- 收集了来自美国大学社区的2019-2022年的Reddit数据.
- 利用强大优化的BERT预训方法 (RoBERTa) 和图表注意网络 (GAT) 来进行情绪预测.
- 采用了通用的线性混合效应模型来评估情绪趋势和学校层面的影响.
主要成果:
- 与2019年相比,在2020年 (25%),2021年 (7.3%) 和2022年 (6.3%) 的负面情绪几率显著更高.
- 统计学意义在多重度调整后的p值下保持在5%的水平.
- 这些发现量化了流行病后消极情绪持续上升的情况.
结论:
- 情绪构成显示,在流行病后的紧急时代,情绪部分恢复.
- 结果与预期一致,详细介绍了2019年至2022年的情绪演变.
- 该研究量化了流行病过渡期间特定亚群体的情绪变化.
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