A Twitter Dataset for Monkeypox, May-Dec, 2022

The number of Monkeypox infections is increasing around the globe. The world has not recovered from damages caused by COVID-19 pandemic yet, and could not bear another catastrophe. Therefore, it is very important to contain Monkeypox outbreak. This dataset includes 2400202 tweet ids and user ids gathered using Twitter API Academic researcher account and with keywords monkeypox or “monkey pox” or “viruela dei mono” or “variole du singe” or “variola do macoco”. The dataset includes all the geotagged and non-geotagged tweets posted during the Monkeypox outbreak of 2022, from May first to December twenty-fifth, 2022, and from anywhere in the world. Each row in the dataset is associated to a different tweet. The dataset includes two columns, TweetID and AuthorID. TweetID provides the id of the tweet and AuthorID provides the id of the user who posted the tweet. The first row of the dataset is the header.
Twitter is increasingly becoming popular among people for sharing ideas, opinions, concerns, and experiences. Previously, Twitter has successfully been used by researchers in different areas of study. This dataset is made available to researchers to study various aspects of Monkeypox such as trend prediction, stigmatization of minor and marginalized populations, misinformation and fake news detection, and hotspot identification to help control the outbreak.