Releases: echen102/COVID-19-TweetIDs
Release v2.36
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 - 2/26/21.
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 (v2.36)
Number of Tweets : 1,210,819,125
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 801,770,300 | 66.22% |
| Spanish | es | 148,794,115 | 12.29% |
| Portuguese | pt | 43,667,981 | 3.61% |
| French | fr | 35,545,487 | 2.94% |
| Undefined | und | 34,236,592 | 2.83% |
| Indonesian | in | 31,878,282 | 2.63% |
| German | de | 19,089,302 | 1.58% |
| Japanese | ja | 14,483,567 | 1.2% |
| Italian | it | 12,876,701 | 1.06% |
| Turkish | tr | 12,552,633 | 1.04% |
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 v2.35
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 - 2/19/21.
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 (v2.35)
Number of Tweets : 1,187,561,397
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 787,575,917 | 66.32% |
| Spanish | es | 145,668,678 | 12.27% |
| Portuguese | pt | 42,371,835 | 3.57% |
| French | fr | 34,631,825 | 2.92% |
| Undefined | und | 33,608,681 | 2.83% |
| Indonesian | in | 31,300,025 | 2.64% |
| German | de | 18,431,182 | 1.55% |
| Japanese | ja | 14,256,941 | 1.2% |
| Italian | it | 12,564,727 | 1.06% |
| Turkish | tr | 12,279,510 | 1.03% |
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 v2.34
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 - 2/12/21.
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 (v2.34)
Number of Tweets : 1,164,654,712
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 773,775,972 | 66.44% |
| Spanish | es | 142,026,774 | 12.19% |
| Portuguese | pt | 41,438,837 | 3.56% |
| French | fr | 33,837,160 | 2.91% |
| Undefined | und | 33,006,891 | 2.83% |
| Indonesian | in | 30,720,691 | 2.64% |
| German | de | 17,762,270 | 1.53% |
| Japanese | ja | 13,955,756 | 1.2% |
| Italian | it | 12,242,275 | 1.05% |
| Turkish | tr | 12,044,003 | 1.03% |
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 v2.33
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 - 2/05/21.
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 (v2.33)
Number of Tweets : 1,140,669,757
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 759,275,518 | 66.56% |
| Spanish | es | 138,417,006 | 12.13% |
| Portuguese | pt | 40,438,233 | 3.55% |
| French | fr | 32,954,716 | 2.89% |
| Undefined | und | 32,364,858 | 2.84% |
| Indonesian | in | 29,965,260 | 2.63% |
| German | de | 16,965,200 | 1.49% |
| Japanese | ja | 13,598,339 | 1.19% |
| Italian | it | 12,037,044 | 1.06% |
| Turkish | tr | 11,848,623 | 1.04% |
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 v2.32
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 - 1/29/21.
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 (v2.32)
Number of Tweets : 1,114,817,004
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 743,641,765 | 66.71% |
| Spanish | es | 134,257,558 | 12.04% |
| Portuguese | pt | 39,496,196 | 3.54% |
| French | fr | 31,877,013 | 2.86% |
| Undefined | und | 31,630,816 | 2.84% |
| Indonesian | in | 29,205,913 | 2.62% |
| German | de | 16,361,341 | 1.47% |
| Japanese | ja | 13,129,711 | 1.18% |
| Italian | it | 11,817,085 | 1.06% |
| Turkish | tr | 11,642,662 | 1.04% |
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 v2.31
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 - 1/22/21.
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 (v2.31)
Number of Tweets : 1,086,791,861
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 727,549,526 | 66.94% |
| Spanish | es | 129,152,199 | 11.88% |
| Portuguese | pt | 38,393,119 | 3.53% |
| Undefined | und | 30,805,014 | 2.83% |
| French | fr | 30,653,282 | 2.82% |
| Indonesian | in | 28,433,404 | 2.62% |
| German | de | 15,728,348 | 1.45% |
| Japanese | ja | 12,679,990 | 1.17% |
| Italian | it | 11,590,729 | 1.07% |
| Turkish | tr | 11,447,977 | 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 v2.30
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 - 1/15/21.
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 (v2.30)
Number of Tweets : 1,059,145,314
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 711,489,220 | 67.18% |
| Spanish | es | 124,788,712 | 11.78% |
| Portuguese | pt | 36,575,689 | 3.45% |
| Undefined | und | 30,067,094 | 2.84% |
| French | fr | 29,571,362 | 2.79% |
| Indonesian | in | 27,517,781 | 2.6% |
| German | de | 15,056,326 | 1.42% |
| Japanese | ja | 12,277,719 | 1.16% |
| Italian | it | 11,344,796 | 1.07% |
| Turkish | tr | 11,244,533 | 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 v2.29
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 - 1/08/21.
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 (v2.29)
Number of Tweets : 1,031,960,697
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 695,593,215 | 67.41% |
| Spanish | es | 120,770,217 | 11.7% |
| Portuguese | pt | 35,209,655 | 3.41% |
| Undefined | und | 29,345,599 | 2.84% |
| French | fr | 28,451,796 | 2.76% |
| Indonesian | in | 26,266,509 | 2.55% |
| German | de | 14,355,663 | 1.39% |
| Japanese | ja | 11,852,079 | 1.15% |
| Italian | it | 11,082,080 | 1.07% |
| Turkish | tr | 11,000,904 | 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 |
| 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 v2.28
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.
Release v2.27
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 - 12/19/20.
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 (v2.27)
Number of Tweets : 952,549,092
Language breakdown of top 10 most prevalent languages :
| Language | ISO | No. tweets | % total Tweets |
|---|---|---|---|
| English | en | 644,906,980 | 67.7% |
| Spanish | es | 111,120,753 | 11.67% |
| Portuguese | pt | 32,022,385 | 3.36% |
| Undefined | und | 27,099,557 | 2.84% |
| French | fr | 25,759,442 | 2.7% |
| Indonesian | in | 24,368,472 | 2.56% |
| German | de | 12,814,433 | 1.35% |
| Japanese | ja | 10,877,984 | 1.14% |
| Italian | it | 10,323,395 | 1.08% |
| Turkish | tr | 10,191,219 | 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 |
| 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.