2023/02/01 by Isabelle van der Vegt, Bennett Kleinberg, van der Vegt, Isabelle +1 · 1 citation
Psychology · #COVID-19 and Mental Health #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mental Health Research Topics #Mental Health via Writing
paper · pdf · doi:10.48550/arxiv.2302.00606
openalex publication_date 2023/02/01 · openalex created_date 2023/02/15 · openalex updated_date 2026/07/28
Besides far-reaching public health consequences, the COVID-19 pandemic had a significant psychological impact on people around the world. To gain further insight into this matter, we introduce the Real World Worry Waves Dataset (RW3D). The dataset combines rich open-ended free-text responses with survey data on emotions, significant life events, and psychological stressors in a repeated-measures design in the UK over three years (2020: n=2441, 2021: n=1716 and 2022: n=1152). This paper provides background information on the data collection procedure, the recorded variables, participants' demographics, and higher-order psychological and text-based derived variables that emerged from the data. The RW3D is a unique primary data resource that could inspire new research questions on the psychological impact of the pandemic, especially those that connect modalities (here: text data, psychological survey variables and demographics) over time.