Release v2.8

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 - 8/07/20.

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:

Chen E, Lerman K, Ferrara E
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set
JMIR Public Health Surveillance 2020;6(2):e19273
DOI: 10.2196/19273
PMID: 32427106

Statistics Summary (v2.8)

Number of Tweets : 420,336,056

Language breakdown of top 10 most prevalent languages :

Language	ISO	No. tweets	% total Tweets
English	en	280,885,082	66.82%
Spanish	es	53,780,170	12.79%
Portuguese	pt	16,115,457	3.83%
Indonesian	in	11,095,497	2.64%
Undefined	und	10,579,220	2.52%
French	fr	8,712,790	2.07%
Japanese	ja	6,679,855	1.59%
Thai	th	4,495,445	1.07%
Hindi	hi	4,460,766	1.06%
Italian	it	3,720,168	0.89%

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
5/14/2020	7:00 - 8:00 UTC

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.