Table 1.
Characteristics of the study sample: tweet data and user data.
Disease | Message count, n | Correction factor, % | Corrected message count, n | Users, n | |
Cancer | |||||
|
Breast cancer | 39,169 | 100 | 39,156 | 19,960 |
|
Leukemia | 9129 | 95.1 | 8682 | 5855 |
|
Lung cancer | 5745 | 92.6 | 5317 | 3719 |
|
Lymphoma | 5276 | 93.4 | 4927 | 2758 |
|
Ovarian cancer | 3063 | 99.9 | 3060 | 1212 |
|
Pancreatic cancer | 3231 | 100 | 3231 | 1189 |
|
Prostate cancer | 4487 | 100 | 4487 | 2311 |
|
Skin cancer | 7866 | 99.9 | 7859 | 4048 |
Chronic lung disease | |||||
|
Asthma | 18,082 | 92.6 | 16,742 | 10,185 |
|
Chronic obstructive pulmonary disease | 2137 | 77.1 | 1648 | 726 |
|
Diabetes | 41,615 | 96.6 | 40,217 | 16,321 |
Heart disease | |||||
|
Heart disease | 14,740 | 92.7 | 13,669 | 7992 |
|
Hypertension | 18,404 | 93.7 | 17,245 | 12,203 |
Stroke | 53,858 | 15.1 | 8141 | 34,298 |