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. 2020 Dec 14;22(12):e21418. doi: 10.2196/21418

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©Danny Valdez, Marijn ten Thij, Krishna Bathina, Lauren A Rutter, Johan Bollen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.12.2020.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

PMC Copyright notice

This diagram illustrates the procedure undertaken to procure Tweet IDs from an open-access COVID-19 repository. These tweet IDs were run through Twitter’s API to create two distinct data sets. The COVID-19 corpus, which contains all COVID-19–related English language tweets published in the United States between January-April 2020. The user timeline data contains the 3200 most recent tweets of users residing in the 20 cities most affected by COVID-19. API: application programming interface; VADER: Valence Aware Dictionary for Sentiment Reasoning.