Table 1 Summary of our Twitter dataset.
Topic | Flu activity | Unemployment | 1st-person flu | 1st-person unemployment |
|---|---|---|---|---|
#Tweets | 153,848 | 145,780 | 79,223 | 83,015 |
#Authors | 142,458 | 139,300 | 75,000 | 72,375 |
State | 56,967 (40%) | 48,670 (35%) | 24,287 (32%) | 22,987 (32%) |
Gender | 56,903 (40%) | 49,359 (36%) | 28,187 (38%) | 23,555 (33%) |
Male | 24,896 (18%) | 29,018 (20%) | 10,664 (14%) | 11,911 (17%) |
Female | 32,009 (23%) | 22,146 (15%) | 17,524 (23%) | 11,644 (16%) |
Age | 42,916 (30%) | 42,049 (30%) | 23,418 (31%) | 22,584 (31%) |
Age < 24 | 19,682 (14%) | 20,452 (15%) | 12,745 (17%) | 12,419 (17%) |
Age ≥ 24 | 23,234 (16.3%) | 21,597 (16%) | 10,673 (14%) | 10,165 (14%) |