Table 3.
Twitter user category and sentiment of data.
| User category | Sentiment | Total, n (%) | ||
| Positive, n (%) | Neutral, n (%) | Negative, n (%) | ||
| Vape retailer or manufacturer | 1158 (99.74) | 0 (0) | 3 (0.26) | 1161 (26.20) |
| Consumer advocacy group | 95 (97.94) | 1 (1.03) | 1 (1.03) | 97 (2.19) |
| E-cigarette advocate | 1007 (97.01) | 23 (2.22) | 8 (0.77) | 1038 (23.42) |
| Suspected bot | 185 (89.37) | 13 (6.28) | 9 (4.35) | 207 (4.67) |
| General public | 845 (78.31) | 115 (10.66) | 119 (11.03) | 1079 (24.35) |
| Other | 150 (74.63) | 27 (13.43) | 24 (11.94) | 201 (4.54) |
| Public health professional, researcher, or academic | 106 (60.57) | 18 (10.29) | 51 (29.14) | 175 (3.95) |
| Government or politician | 9 (56.25) | 1 (6.25) | 6 (37.50) | 16 (0.36) |
| Health or scientific group | 19 (30.65) | 11 (17.74) | 32 (51.61) | 62 (1.40) |
| News or media source | 48 (22.02) | 97 (44.50) | 73 (33.49) | 218 (4.92) |
| Medical doctor, nurse, or group | 3 (13.64) | 7 (31.82) | 12 (54.55) | 22 (0.50) |
| Account not active or user suspended | 129 (82.69) | 13 (8.33) | 14 (8.97) | 156 (3.52) |
| Total | 3754 (84.70) | 326 (7.36) | 352 (7.94) | 4432 (100) |