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. 2022 Dec 27;24(12):e41517. doi: 10.2196/41517

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




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)