---
license: gpl-3.0
task_categories:
- text-classification
language:
- es
- en
---

**General description**:

This dataset comprisses a set of tweets crawled during the COVID-19 pandemic (from March 2020 to June 2021). Tweets are located in two different regions: Spain and USA. This adds value to the collection, as it contains data in two languages.
This data was used as part of a broader study that aimed to determine the evolution of different personality traits and disorders during the pandemic. Thus, weak labels for different dimensions, such as sentiment, personality prevalence, and others, are also available.
Further details about this experimentation can be found in the [paper](https://link.springer.com/article/10.1007/s10844-023-00810-3) or [Github](https://github.com/MarcosFP97/COVID-19-Personality).

**Data**:

A sample of the data can be visualised and downloaded from this card. More specifically, it corresponds to the month of January 2021 and tweets are located on USA. Tweets were anonymized for privacy reasons.
The whole dataset is available upon request to fullfil Twitter's restrictions. You can contact either with marcosfernandez.pichel@usc.es or ezra.aragon@usc.es to obtain it.

**Citation**:

For all the future studies using our data, we kindly ask to quote our paper:

@article{fernandez2023personality, \
  title={Personality trait analysis during the COVID-19 pandemic: a comparative study on social media}, \
  author={Fern{\'a}ndez-Pichel, Marcos and Arag{\'o}n, Mario Ezra and Saborido-Pati{\~n}o, Juli{\'a}n and Losada, David E}, \
  journal={Journal of Intelligent Information Systems}, \
  pages={1--26}, \
  year={2023}, \
  publisher={Springer} \
}