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.

全球猴痘（Monkeypox）感染病例数持续攀升。当前全球尚未从新冠疫情（COVID-19 pandemic）造成的冲击中完全恢复，无力再承受另一场公共卫生灾难，因此遏制猴痘暴发至关重要。
本数据集通过推特（Twitter）学术研究账户API采集，共包含2400202条推文ID（TweetID）与用户ID（AuthorID），采集关键词为"monkeypox"、"monkey pox"、"viruela dei mono"、"variole du singe"以及"variola do macoco"。数据集涵盖2022年5月1日至12月25日猴痘暴发期间全球范围内发布的所有带地理标签与不带地理标签的推文，每一行对应一条独立推文。数据集共包含两列：推文ID（TweetID）与作者ID（AuthorID），其中第一行为表头。
推特（Twitter）作为分享观点、意见、关切与个人经历的平台，用户群体日益壮大，此前已被不同研究领域的学者成功应用于各类研究。本数据集面向研究者开放，旨在助力开展猴痘相关多维度研究，包括趋势预测、少数及边缘群体污名化分析、虚假信息与假新闻检测，以及协助疫情防控的热点区域识别等。