Dryad
Published January 20, 2023 | Version v1
Dataset Open

A Twitter dataset for Monkeypox outbreak in 2022

Creators

  • 1. York University

Description

Right after the COVID-19 pandemic, the Monkeypox virus has infected people from more than twenty different countries. The COVID-19 pandemic has badly hit the healthcare system, social culture, and the global economy. The world does not have the strength to go through another catastrophe. Thus, it is very important to contain Monkeypox and stop the spread. This dataset includes the tweet id and user id of 2,400,202 tweets gathered using keywords related to Monkeypox for researchers to study on different subjects such as Monkeypox trend prediction, Monkeypox stigmatization, and Monkeypox misinformation and fake news detection.

Notes

In compliance with Twitter developer's term of use and privacy policy agreement1, the dataset includes only tweet ids. In order to have access to the actual tweets and other metadata the tweet ids need to be hydrated. One software that can hydrate the tweet ids is DocNow hydrator2. After installation, the hydrator needs to be authorized using your Twitter account. Next, the file containing the tweet ids should be uploaded to the hydrator. The hydrator will return the tweets and their metadata in .json by default. However, it can be returned in other formats such as .csv as well.

1 Twitter Developer Platform, Developer Agreement and Policy, (Accessed June 2022), https://developer.twitter.com/en/developer-terms/agreement-and-policy.

2 DocNow Hydrator, Aug 2021, (Accessed: June 2022), GitHub - DocNow/hydrator: Turn Tweet IDs into Twitter JSON & CSV from your desktop!.

Funding provided by: International Development Research Centre
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000193
Award Number: 109559-001

Funding provided by: Styrelsen för Internationellt Utvecklingssamarbete
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100004441
Award Number: 109559-001

Files

Monkeypox_May1_to_Dec25_2022.csv

Files (86.7 MB)

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