Emotions in Covid-19 Twitter discourse following the introduction of social contact restrictions in Central Europe

被引:6
作者
Hanschmidt, Franz [1 ]
Kersting, Anette [1 ]
机构
[1] Univ Leipzig, Dept Psychosomat Med, Semmelweisstr 10, D-04103 Leipzig, Germany
来源
JOURNAL OF PUBLIC HEALTH-HEIDELBERG | 2023年 / 31卷 / 06期
关键词
Natural language processing; Social media; Covid-19; Anxiety; Emotions; Topic models;
D O I
10.1007/s10389-021-01613-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Aim Non-pharmaceutical interventions such as lockdowns have played a critical role in preventing the spread of the Covid-19 pandemic, but may increase psychological burden. This study sought to examine emotions reflected in social media discourse following the introduction of social contact restrictions in Central Europe. Subjects and methods German-language Twitter posts containing '#corona' and '#covid-19' were collected between 2020/03/18 - 2020/04/24. A total of 79,760 tweets were included in the final analysis. Rates of expressions of positive emotion, anxiety, sadness and anger were compared over time. Bi-term topic models were applied to extract topics of discussion and examine association with emotions. Results Rates of anxiety, sadness and positive emotion decreased in the period following the introduction of social contact restrictions. A total of 16 topics were associated with emotions, which related to four general themes: social contact restrictions, life during lockdown, infection-related issues, and impact of the pandemic on public and private life. Several unique patterns of association between topics and emotions emerged. Conclusion Results suggest decreasing polarity of emotions among the public following the introduction of social contact restrictions. Monitoring of social media activity may prove beneficial for an adaptive understanding of changing public concerns during the Covid-19 pandemic.
引用
收藏
页码:933 / 946
页数:14
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