Skip to content

Releases: echen102/COVID-19-TweetIDs

Release v2.26

14 Dec 08:20
Compare
Choose a tag to compare

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 - 12/11/20.

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 (v2.26)

Number of Tweets : 922,468,360

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 625,211,488 67.78%
Spanish es 107,929,102 11.7%
Portuguese pt 30,738,459 3.33%
Undefined und 26,049,282 2.82%
French fr 24,856,411 2.69%
Indonesian in 23,845,746 2.58%
German de 11,945,897 1.29%
Japanese ja 10,578,042 1.15%
Italian it 9,973,363 1.08%
Turkish tr 9,820,500 1.06%

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 v2.25

07 Dec 14:24
Compare
Choose a tag to compare

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 - 12/04/20.

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 (v2.25)

Number of Tweets : 896,413,524

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 607,346,491 67.75%
Spanish es 105,648,005 11.79%
Portuguese pt 29,723,763 3.32%
Undefined und 24,991,150 2.79%
French fr 24,172,504 2.7%
Indonesian in 23,314,315 2.6%
German de 11,276,317 1.26%
Japanese ja 10,270,892 1.15%
Italian it 9,713,433 1.08%
Turkish tr 9,424,864 1.05%

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 v2.24

30 Nov 12:25
Compare
Choose a tag to compare

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 - 11/27/20.

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 (v2.24)

Number of Tweets : 870,929,297

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 590,456,483 67.8%
Spanish es 103,116,529 11.84%
Portuguese pt 28,688,237 3.29%
Undefined und 23,978,654 2.75%
French fr 23,541,743 2.7%
Indonesian in 22,667,735 2.6%
German de 10,758,192 1.24%
Japanese ja 10,054,416 1.15%
Italian it 9,430,137 1.08%
Turkish tr 8,857,102 1.02%

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 v2.23

23 Nov 09:24
Compare
Choose a tag to compare

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 - 11/20/20.

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 (v2.23)

Number of Tweets : 844,626,776

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 572,224,397 67.75%
Spanish es 100,647,766 11.92%
Portuguese pt 27,841,615 3.3%
Undefined und 23,000,962 2.72%
French fr 22,810,788 2.7%
Indonesian in 22,167,833 2.62%
German de 10,216,736 1.21%
Japanese ja 9,759,319 1.16%
Italian it 9,124,977 1.08%
Turkish tr 8,426,313 1.0%

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 v2.22

16 Nov 11:15
Compare
Choose a tag to compare

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 - 11/13/20.

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 (v2.22)

Number of Tweets : 816,605,479

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 552,356,419 67.64%
Spanish es 98,510,721 12.06%
Portuguese pt 27,078,482 3.32%
Undefined und 21,978,188 2.69%
French fr 21,758,627 2.66%
Indonesian in 21,654,608 2.65%
German de 9,649,051 1.18%
Japanese ja 9,496,013 1.16%
Italian it 8,742,443 1.07%
Turkish tr 7,955,619 0.97%

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 v2.21

10 Nov 00:52
Compare
Choose a tag to compare

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 - 11/06/20.

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 (v2.21)

Number of Tweets : 790,375,857

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 533,908,935 67.55%
Spanish es 96,270,857 12.18%
Portuguese pt 26,429,725 3.34%
Indonesian in 21,220,543 2.68%
Undefined und 21,070,482 2.67%
French fr 20,682,499 2.62%
Japanese ja 9,298,525 1.18%
German de 9,103,555 1.15%
Italian it 8,279,028 1.05%
Turkish tr 7,625,627 0.96%

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 v2.20

03 Nov 03:31
Compare
Choose a tag to compare

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 - 10/30/20.

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 (v2.20)

Number of Tweets : 764,023,618

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 516,035,221 67.54%
Spanish es 93,620,508 12.25%
Portuguese pt 25,841,448 3.38%
Indonesian in 20,737,275 2.71%
Undefined und 20,146,836 2.64%
French fr 19,407,262 2.54%
Japanese ja 9,141,241 1.2%
German de 8,551,652 1.12%
Italian it 7,764,772 1.02%
Turkish tr 7,302,032 0.96%

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 v2.19

26 Oct 08:19
Compare
Choose a tag to compare

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 - 10/23/20.

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 (v2.19)

Number of Tweets : 736,297,019

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 497,685,659 67.59%
Spanish es 90,842,059 12.34%
Portuguese pt 25,203,331 3.42%
Indonesian in 20,152,473 2.74%
Undefined und 19,157,595 2.6%
French fr 17,925,933 2.43%
Japanese ja 9,008,154 1.22%
German de 7,831,368 1.06%
Italian it 7,151,588 0.97%
Turkish tr 7,041,376 0.96%

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 v2.18

19 Oct 09:31
Compare
Choose a tag to compare

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 - 10/16/20.

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 (v2.18)

Number of Tweets : 708,574,183

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 478,526,315 67.53%
Spanish es 88,112,964 12.44%
Portuguese pt 24,432,645 3.45%
Indonesian in 19,393,115 2.74%
Undefined und 18,402,837 2.6%
French fr 16,978,925 2.4%
Japanese ja 8,852,194 1.25%
German de 7,239,416 1.02%
Turkish tr 6,839,666 0.97%
Italian it 6,643,031 0.94%

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 v2.17

12 Oct 10:26
Compare
Choose a tag to compare

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 - 10/09/20.

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 (v2.17)

Number of Tweets : 679,785,656

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 458,423,953 67.44%
Spanish es 85,376,966 12.56%
Portuguese pt 23,721,337 3.49%
Indonesian in 18,692,431 2.75%
Undefined und 17,680,714 2.6%
French fr 15,712,416 2.31%
Japanese ja 8,679,404 1.28%
German de 6,725,180 0.99%
Turkish tr 6,636,501 0.98%
Hindi hi 6,332,114 0.93%

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.