Table 2.
Results of sentiment and interaction analysis for tweets (N=167,073).
| Topics | Sentiment, mean (SD) | Followers, mean (SD) | Likes, mean (SD) | Retweets, mean (SD) | Interaction rates | User mentions, n (%) | Link sharing, n (%) |
| China | 0.028 (0.254) | 5971.83 (182,938.26) | 5.48 (128.42) | 1.65 (51.08) | 0.00120 | 10,323 (6.18) | 11,041 (6.61) |
| Outbreak | 0.037 (0.229) | 20,498.22 (272,064.16) | 6.48 (88.02) | 2.69 (50.75) | 0.00045 | 2038 (1.23) | 3090 (1.85) |
| Eating meat | 0.082 (0.282) | 7177.12 (176,101.49) | 12.34 (295.47) | 7.09 (136.75) | 0.00271 | 3815 (2.28) | 7140 (4.27) |
| Developing bioweapon | 0.016 (0.241) | 3071.80 (22,697.08) | 6.66 (114.81) | 2.24 (37.53) | 0.00290 | 1036 (0.62) | 706 (0.42) |
| Deaths caused by COVID-19a | –0.057 (0.287) | 9020.53 (204,289.34) | 6.00 (86.42) | 2.44 (39.75) | 0.00094 | 6847 (4.10) | 5924 (3.55) |
| Fear and stress about COVID-19 | 0.015 (0.247) | 11,755.66 (310,842.61) | 7.11 (129.05) | 2.42 (48.22) | 0.00081 | 3851 (2.30) | 2693 (1.61) |
| Travel bans and warnings | 0.032 (0.248) | 9003.54 (154,933.20) | 3.93 (33.27) | 0.92 (8.07) | 0.00054 | 2122 (1.27) | 1210 (0.72) |
| Economic losses | 0.035 (0.247) | 13,361.82 (287,310.56) | 15.33 (517.00) | 3.58 (109.51) | 0.00141 | 1225 (0.73) | 846 (0.51) |
| Panic buying | 0.031 (0.248) | 12,121.17 (456,517.30) | 4.07 (38.95) | 0.89 (8.51) | 0.00041 | 944 (0.56) | 609 (0.36) |
| Increased racism | –0.033 (0.264) | 2878.38 (64,604.27) | 9.87 (80.57) | 1.66 (14.89) | 0.00400 | 685 (0.41) | 427 (0.26) |
| Wearing masks | 0.035 (0.262) | 7557.34 (147,010.30) | 8.08 (105.39) | 1.88 (28.68) | 0.00132 | 1200 (0.72) | 1062 (0.64) |
| Quarantining subjects | 0.012 (0.263) | 6800.47 (87835.42) | 5.64 (39.10) | 1.90 (17.12) | 0.00111 | 896 (0.54) | 630 (0.38) |
aCOVID-19: coronavirus disease.