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

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

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 all...

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Bibliographic Details
Main Authors: Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Ekaterina Artemova, Elena Tutubalina, Gerardo Chowell
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Epidemiologia
Subjects:
public datasets
open science
COVID-19
social media
data sources
Online Access:https://www.mdpi.com/2673-3986/2/3/24

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