A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration
By J. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell. Epidemiolgia, 2020
307 citations recorded by the source corpus.
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 the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.
Subfields: Epidemiology, Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/9f1860c2949218b0d6146becfa5b6d5018988f0a
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In Sociology and Political Science
Citations in the corpus
- Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020, background): “such as COVID-19 TweetIDs, Covid19 Tweets, the Covid-19 Twitter dataset [136] † ) which are maintained with general coronavirus-related tweets, can be useful for tracking the propagation of misinformation and unverified rumors on Twitter [137] , as well as for monitoring the reactions of different p”