Releases: echen102/COVID-19-TweetIDs
Release v2.96
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 - 04/23/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.96)
Number of Tweets : 2,452,149,122
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,565,632,525 | 63.85% |
| Spanish | es | 282,489,183 | 11.52% |
| Portuguese | pt | 97,620,393 | 3.98% |
| French | fr | 86,557,340 | 3.53% |
| Undefined | und | 72,692,522 | 2.96% |
| Indonesian | in | 70,888,553 | 2.89% |
| German | de | 53,178,276 | 2.17% |
| Thai | th | 35,291,207 | 1.44% |
| Japanese | ja | 33,377,645 | 1.36% |
| Italian | it | 27,506,327 | 1.12% |
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.
Release v2.95
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 - 04/15/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.95)
Number of Tweets : 2,441,061,762
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,557,905,401 | 63.82% |
| Spanish | es | 281,655,360 | 11.54% |
| Portuguese | pt | 97,425,881 | 3.99% |
| French | fr | 86,040,812 | 3.52% |
| Undefined | und | 72,359,106 | 2.96% |
| Indonesian | in | 70,751,065 | 2.9% |
| German | de | 52,854,074 | 2.17% |
| Thai | th | 35,074,785 | 1.44% |
| Japanese | ja | 33,216,863 | 1.36% |
| Italian | it | 27,338,794 | 1.12% |
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.
Release v2.94
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 - 04/08/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.94)
Number of Tweets : 2,430,598,870
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,550,661,291 | 63.8% |
| Spanish | es | 280,902,032 | 11.56% |
| Portuguese | pt | 97,233,479 | 4.0% |
| French | fr | 85,551,860 | 3.52% |
| Undefined | und | 72,080,998 | 2.97% |
| Indonesian | in | 70,624,961 | 2.91% |
| German | de | 52,493,416 | 2.16% |
| Thai | th | 34,827,345 | 1.43% |
| Japanese | ja | 33,048,663 | 1.36% |
| Italian | it | 27,192,174 | 1.12% |
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.
Release v2.93
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 - 04/02/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.93)
Number of Tweets : 2,422,918,491
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,545,449,999 | 63.78% |
| Spanish | es | 280,291,494 | 11.57% |
| Portuguese | pt | 97,098,499 | 4.01% |
| French | fr | 85,200,656 | 3.52% |
| Undefined | und | 71,870,920 | 2.97% |
| Indonesian | in | 70,502,598 | 2.91% |
| German | de | 52,089,569 | 2.15% |
| Thai | th | 34,738,108 | 1.43% |
| Japanese | ja | 32,915,579 | 1.36% |
| Italian | it | 27,093,405 | 1.12% |
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.
Release v2.92
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 - 03/25/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.92)
Number of Tweets : 2,411,660,389
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,537,896,848 | 63.77% |
| Spanish | es | 279,374,852 | 11.58% |
| Portuguese | pt | 96,894,387 | 4.02% |
| French | fr | 84,679,670 | 3.51% |
| Undefined | und | 71,483,038 | 2.96% |
| Indonesian | in | 70,338,149 | 2.92% |
| German | de | 51,579,752 | 2.14% |
| Thai | th | 34,590,631 | 1.43% |
| Japanese | ja | 32,691,282 | 1.36% |
| Italian | it | 26,932,124 | 1.12% |
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.
Release v2.91
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 - 03/21/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.91)
Number of Tweets : 2,405,567,090
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,533,813,620 | 63.76% |
| Spanish | es | 278,924,071 | 11.59% |
| Portuguese | pt | 96,785,133 | 4.02% |
| French | fr | 84,395,800 | 3.51% |
| Undefined | und | 71,294,228 | 2.96% |
| Indonesian | in | 70,247,046 | 2.92% |
| German | de | 51,308,155 | 2.13% |
| Thai | th | 34,431,911 | 1.43% |
| Japanese | ja | 32,601,879 | 1.36% |
| Italian | it | 26,848,686 | 1.12% |
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.
Release v2.90
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 - 03/12/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.90)
Number of Tweets : 2,391,456,124
Language breakdown of top 15 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,524,527,323 | 63.75% |
| Spanish | es | 277,777,459 | 11.62% |
| Portuguese | pt | 96,427,956 | 4.03% |
| French | fr | 83,754,184 | 3.5% |
| Undefined | und | 70,893,598 | 2.96% |
| Indonesian | in | 69,989,049 | 2.93% |
| German | de | 50,590,705 | 2.12% |
| Thai | th | 34,228,830 | 1.43% |
| Japanese | ja | 32,363,526 | 1.35% |
| Italian | it | 26,628,972 | 1.11% |
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.
Release v2.89
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 - 03/04/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.89)
Number of Tweets : 2,379,024,026
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,516,323,151 | 63.74% |
| Spanish | es | 276,770,942 | 11.63% |
| Portuguese | pt | 96,150,179 | 4.04% |
| French | fr | 83,170,496 | 3.5% |
| Undefined | und | 70,525,268 | 2.96% |
| Indonesian | in | 69,722,278 | 2.93% |
| German | de | 50,032,940 | 2.1% |
| Thai | th | 34,057,302 | 1.43% |
| Japanese | ja | 32,124,469 | 1.35% |
| Italian | it | 26,440,922 | 1.11% |
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.
Release v2.88
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 - 02/26/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.88)
Number of Tweets : 2,368,519,063
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,509,244,530 | 63.72% |
| Spanish | es | 275,946,975 | 11.65% |
| Portuguese | pt | 95,867,045 | 4.05% |
| French | fr | 82,661,391 | 3.49% |
| Undefined | und | 70,222,541 | 2.96% |
| Indonesian | in | 69,497,352 | 2.93% |
| German | de | 49,700,092 | 2.1% |
| Thai | th | 33,958,198 | 1.43% |
| Japanese | ja | 31,946,715 | 1.35% |
| Italian | it | 26,291,299 | 1.11% |
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.
Release v2.87
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 - 02/18/22.
Please refer to the README for more details regarding data, data organization and data usage agreement.
Data Usage Agreement / How to Cite
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
BibTeX:
@article{chen2020tracking,
title={Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set},
author={Chen, Emily and Lerman, Kristina and Ferrara, Emilio},
journal={JMIR Public Health and Surveillance},
volume={6},
number={2},
pages={e19273},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}Statistics Summary (v2.87)
Number of Tweets : 2,352,799,019
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 1,499,025,705 | 63.71% |
| Spanish | es | 274,605,185 | 11.67% |
| Portuguese | pt | 95,438,545 | 4.06% |
| French | fr | 81,900,820 | 3.48% |
| Undefined | und | 69,758,279 | 2.96% |
| Indonesian | in | 69,114,298 | 2.94% |
| German | de | 49,188,180 | 2.09% |
| Thai | th | 33,658,172 | 1.43% |
| Japanese | ja | 31,631,310 | 1.34% |
| Italian | it | 26,050,682 | 1.11% |
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.