A Twitter dataset for Monkeypox outbreak in 2022

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.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 CentreCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000193Award Number: 109559-001Funding provided by: Styrelsen för Internationellt UtvecklingssamarbeteCrossref Funder Registry ID: http://dx.doi.org/10.13039/100004441Award Number: 109559-001This dataset was gathered using Twitter developer's academic researcher API using keywords monkeypox or "monkey pox" or "viruela dei mono" or "variole du singe" or "variola do macoco" from May 1st to December 25th, 2022. Originally, the metadata included tweet id, conversation id, in reply to user id and in reply to username (in case of the tweet being a reply), created at, type (i.e. tweet, replied to, or quoted), language, retweets count, reply count, like count, geo id, geo-country, geo-province/city, geo-coordinates, author id, author name, author username, author description, author-reported location, author hashtags, created account at, follower count, following count, tweet count, and image URL. However, to comply with Twitter developer's terms of use and privacy policy, only the tweet id and user id of 2,400,202 tweets are released to the public in this dataset