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@echen102 echen102 released this 21 Apr 04:27
· 143 commits to master since this release

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020. To comply with Twitter’s Terms of Service, we are only publicly releasing the Tweet IDs of the collected Tweets. The data is released for non-commercial research use.

This release contains Tweet IDs collected from 1/21/20 - 4/17/20.

Please refer to the README for more details regarding data, data organization and data usage agreement.

Data Usage Agreement

This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC BY-NC-SA 4.0). By using this dataset, you agree to abide by the stipulations in the license, remain in compliance with Twitter’s Terms of Service and cite the following manuscript:

Emily Chen, Kristina Lerman, and Emilio Ferrara. 2020. #COVID-19: The First Public Coronavirus Twitter Dataset. arXiv:cs.SI/2003.07372, 2020

Statistics Summary (v1.5)

Number of Tweets : 101,771,227

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 67,427,185 66.25%
Spanish es 11,254,540 11.06%
Indonesian in 3,591,884 3.53%
French fr 3,124,414 3.07%
Portuguese pt 2,715,462 2.67%
Thai th 2,577,166 2.53%
(undefined) und 2,113,795 2.08%
Japanese ja 1,867,601 1.84%
Italian it 1,419,867 1.40%
Turkish tr 1,092,512 1.07%

Known Gaps

Date Time
2/1/2020 4:00 - 9:00 UTC
2/8/2020 6:00 - 7:00 UTC
2/22/2020 21:00 - 24:00 UTC
2/23/2020 0:00 - 24:00 UTC
2/24/2020 0:00 - 4:00 UTC
2/25/2020 0:00 - 3:00 UTC
3/2/2020 Intermittent Internet Connectivity Issues

Inquiries

If you have technical questions about the data collection, please contact Emily Chen at echen920[at]usc[dot]edu.

If you have any further questions about this dataset please contact Dr. Emilio Ferrara at emiliofe[at]usc[dot]edu.