Skip to content

Release v2.28

Compare
Choose a tag to compare
@echen102 echen102 released this 08 Jan 11:01
· 93 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 - 1/03/21.

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 (v2.28)

Number of Tweets : 1,011,527,974

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 682,909,873 67.51%
Spanish es 118,112,636 11.68%
Portuguese pt 34,404,825 3.4%
Undefined und 28,817,757 2.85%
French fr 27,780,014 2.75%
Indonesian in 25,545,498 2.53%
German de 13,902,033 1.37%
Japanese ja 11,557,180 1.14%
Italian it 10,907,873 1.08%
Turkish tr 10,878,663 1.08%

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.