This repo contains the data and variable descriptions on the Real World Worry Datasets.
Papers on this dataset:
- [1]M. Mozes, I. van der Vegt, and B. Kleinberg, ‘A repeated-measures study on emotional responses after a year in the pandemic’, arXiv:2107.03466 [cs], Nov. 2021, Accessed: Nov. 24, 2021. [Online]. Available: http://arxiv.org/abs/2107.03466 (in press at Scientific Reports)
- [2]B. Kleinberg, I. van der Vegt, and M. Mozes, ‘Measuring Emotions in the COVID-19 Real World Worry Dataset’, presented at the ACL-NLP-COVID19 2020, Online, Jul. 2020. Accessed: Nov. 02, 2020. [Online]. Available: https://www.aclweb.org/anthology/2020.nlpcovid19-acl.11
- [3]I. van der Vegt and B. Kleinberg, ‘Women Worry About Family, Men About the Economy: Gender Differences in Emotional Responses to COVID-19’, in Social Informatics, vol. 12467, S. Aref, K. Bontcheva, M. Braghieri, F. Dignum, F. Giannotti, F. Grisolia, and D. Pedreschi, Eds. Cham: Springer, 2020, pp. 397–409. doi: 10.1007/978-3-030-60975-7_29.
Contact: bennett.kleinberg [at] tilburguniversity.edu
These projects are also available with on the World Pandemic Research Network:
- Measuring emotional responses to COVID-19 https://wprn.org/item/459652; Presentation on YouTube
- Gender Differences in Emotional Responses to COVID-19 https://wprn.org/item/547252; Presentation on YouTube
- Worry, coping and resignation - A repeated-measures study on emotional responses after a year in the pandemic https://wprn.org/item/545152; Presentation on YouTube
- main
- data_phase_1
- files
- meta
- texts
- short (n=2500)
- long (n=2500)
- files_clean
- liwc
- meta
- texts
- short (n=2491)
- long (n=2491)
- files
- data_repeated_measures
- meta (n=1698)
- texts
- phase1
- long
- short
- phase2
- long
- short
- phase1
- data_phase_1
The directory ./data_phase_1/files
contains all 5000 texts, while ./data_phase_1/files_clean
contains those after the exclusion of 9 participants (as reported in the paper). Note: the LIWC data were only extracted on the "cleaned" data.
Variable name | Type | Meaning |
---|---|---|
startdate | time stamp | Time of starting the task |
enddate | time stamp | Time of submitting the task |
duration | numeric | Duration in seconds |
worry | numeric | 9-point scale rating (1=low, 9=high) |
chosen_emotion | string | Choice of emotion that best represented their feeling |
anger | numeric | 9-point scale rating (1=low, 9=high) |
disgust | numeric | 9-point scale rating (1=low, 9=high) |
fear | numeric | 9-point scale rating (1=low, 9=high) |
anxiety | numeric | 9-point scale rating (1=low, 9=high) |
sadness | numeric | 9-point scale rating (1=low, 9=high) |
happiness | numeric | 9-point scale rating (1=low, 9=high) |
relaxation | numeric | 9-point scale rating (1=low, 9=high) |
desire | numeric | 9-point scale rating (1=low, 9=high) |
text_long | string | Text input on long text (500 chars. minumum) |
text_short | string | Text input on Tweet-sized text (280 chars. maximum) |
self_rating_general | numeric | 9-point scale rating (1=low, 9=high) - how well they could express their feelings in text in general |
self_rating_short | numeric | 9-point scale rating (1=low, 9=high) - how well they could express their feelings in the short text |
self_rating_long | numeric | 9-point scale rating (1=low, 9=high) - how well they could express their feelings in the long text |
twitter_general_often | numeric | 9-point scale rating (1=rarely, 9=very often) - how often they are on Twitter |
twitter_tweet_often | numeric | 9-point scale rating (1=rarely, 9=very often) - how often they tweet on Twitter |
twitter_participate_often | numeric | 9-point scale rating (1=rarely, 9=very often) - how often they participate in conversations on Twitter |
eng_native | string | Whether English is their native language (Yes, No, No but fluent) |
Note: in the repeated measures version of the dataset, the variables from phase 1 (April 2020) are denoted as "[VARIABLE]_wave1" and those from phase 2 (April 2021) as "[VARIABLE]_wave2". The "delta" variables are the difference between the values from these two measurements (i.e. phase 2 - phase 1).