ArticleScientific reports2021
A repeated-measures study on emotional responses after a year in the pandemic.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Perceived humanness and empathy are dissociated in relationship advice generated by a large language model.Nature communications · 2026Article
- Biomechanical optimization of pedicle screw trajectories in osteoporotic lumbar fusion: finite element analysis and validation of robotic-assisted implementation.Journal of robotic surgery · 2025Article
- Examining embedded lies through computational text analysis.Scientific reports · 2025Article
- A systematic evaluation of text mining methods for short texts: Mapping individuals' internal states from online posts.Behavior research methods · 2024Article
- A multi-modal panel dataset to understand the psychological impact of the pandemic.Scientific data · 2023Article
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Authors and funding
3 authors.
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Abstract
The introduction of COVID-19 lockdown measures and an outlook on return to normality are demanding societal changes. Among the most pressing questions is how individuals adjust to the pandemic. This paper examines the emotional responses to the pandemic in a repeated-measures design. Data (n = 1698) were collected in April 2020 (during strict lockdown measures) and in April 2021 (when vaccination programmes gained traction). We asked participants to report their emotions and express these in text data. Statistical tests revealed an average trend towards better adjustment to the pandemic. However, clustering analyses suggested a more complex heterogeneous pattern with a well-coping and a resigning subgroup of participants. Linguistic computational analyses uncovered that topics and n-gram frequencies shifted towards attention to the vaccination programme and away from general worrying. Implications for public mental health efforts in identifying people at heightened risk are discussed. The dataset is made publicly available.
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