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The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic

arXiv 2302.00606 ↗First posted 1 Feb 2023cs.CLcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 3 of its 23 references that are in the map. First posted on arXiv 1 Feb 2023.

Builds on

3 of 23 references.

References · 3

  1. 2020A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaborationcited by 33
  2. 2020Measuring Emotions in the COVID-19 Real World Worry Datasetcited by 15
  3. 2021A repeated-measures study on emotional responses after a year in the pandemiccited by 3

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