A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research-An International Collaboration.

ABSTRACT: As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at

SUBMITTER: Banda JM 

PROVIDER: S-EPMC9620940 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature