TABLE 2—
Comparison of Hashtags #covid19 Versus #chinesevirus on Twitter Before and After 18:51:00 on March 16, 2020
| #covid19 (n = 495 289) |
#chinesevirus (n = 777 852) |
||||||
| Total Hashtags | Pre, No. or Mean (SD) | Post, No. or Mean (SD) | % Change or Difference in Mean (95% CI) | Pre, No. or Mean (SD) | Post, No. or Mean (SD) | % Change or Difference in Mean (95% CI) | Difference in % Change Between #chinesevirus vs #covid19 |
| Total no.a | |||||||
| All hashtags | 48 642 | 446 647 | 818.20 | 3 956 | 773 896 | 19 462.60 | 371 935 |
| Anti-Asian hashtags | 9 813 | 88 056 | 797.30 | 2 227 | 389 730 | 17 400.20 | 309 260 |
| Non–anti-Asian hashtags | 38 829 | 358 591 | 823.50 | 1 729 | 384 166 | 22 119.00 | 62 675 |
| No. per day | |||||||
| Tweets | 927.50 (168.58) | 10 961.50 (5 472.4) | 10 034.00 (–14 609.45, −5 458.55) | 125.50 (101.35) | 30 869.25 (15 960.88) | 30 743.75 (–44 087.43, −17 400.07) | . . . |
| Hashtags | 6 080.25 (1 208.12) | 55 830.88 (26 367.34) | 49 750.63 (–71 798.71, −27 702.54) | 494.50 (423.01) | 96 737.00 (49 397.71) | 96 242.50 (–137 540.31, −54 944.69) | . . . |
| Anti-Asian hashtags | 1 431.25 (321.75) | 11 694.12 (5 988.17) | 10 262.87 (–15 270.51, −5 255.24) | 304.63 (264.53) | 51 085.00 (27 828.04) | 50 780.38 (–74 045.40, −27 515.35) | . . . |
| Users | 588.50 (103.77) | 2818.25 (1 279.66) | 2 229.75 (–3 300.27, −1 159.23) | 93.50 (69.65) | 7 901.88 (4 079.67) | 7 808.38 (–11 219.16, −4 397.59) | |
Note. CI = confidence interval.
a
X2(1, n = 1 167 945) = 112 586; P< .001.