Table 3.
Characteristics of negative and positive prepandemic (calendar year 2019) tweets and peripandemic (calendar year 2020) tweets.
| Tweet sentiment | Total tweets (N=305,321), n (%) | Prepandemic tweets (n=139,561), n (%) | Peripandemic tweets (n=165,760), n (%) | Prepandemic vs peripandemic | ||
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|
P value | z-statistic | Odds ratio (95% CI) |
| Negative tweets | 156,406 (51.3) | 65,164 (46.7) | 91,242 (55) | <.001 | 45.94 | 1.39 (1.37-1.41) |
| Positive tweets | 62,254 (20.4) | 34,633 (24.8) | 27,621 (16.7) | <.001 | 55.402 | 0.60 (0.59-0.61) |
| Neutral tweets | 86,661 (28.3) | 39,764 (28.5) | 46,897 (28.3) | .22 | 1.22 | 0.99 (0.97-1.00) |