Table 3 Regional ranking of searches using potentially discriminatory language toward the source of the outbreak in different periods.
Potentially discriminatory language in the initial stage of the outbreak | Potentially discriminatory language in internet searches before official guidance on the use of discriminatory language | Potentially discriminatory language in internet searches after official guidance on the use of discriminatory language | Potentially discriminatory language in internet searches following the official naming of the disease | Trends in potentially discriminatory language in internet searches (3-week average) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Shanghai | 0.8473 | 1 | Shanghai | 0.8257 | 1 | Shanghai | 0.3353 | 1 | Qinghai | 0.2448 | 1 | Shanghai | 0.5489 |
2 | Guangdong | 0.8194 | 2 | Beijing | 0.7892 | 2 | Beijing | 0.3122 | 2 | Shanghai | 0.2102 | 2 | Beijing | 0.5113 |
3 | Beijing | 0.8115 | 3 | Guangdong | 0.7690 | 3 | Tianjin | 0.2803 | 3 | Tibet | 0.2086 | 3 | Chongqing | 0.4903 |
4 | Jiangsu | 0.7824 | 4 | Jiangsu | 0.7489 | 4 | Chongqing | 0.2714 | 4 | Hunan | 0.2057 | 4 | Hunan | 0.4796 |
5 | Tianjin | 0.7796 | 5 | Chongqing | 0.7352 | 5 | Qinghai | 0.2675 | 5 | Chongqing | 0.2017 | 5 | Hainan | 0.4766 |
6 | Henan | 0.7725 | 6 | Zhejiang | 0.7290 | 6 | Hunan | 0.2595 | 6 | Hainan | 0.2000 | 6 | Guangdong | 0.4753 |
7 | Sichuan | 0.7692 | 7 | Tianjin | 0.7256 | 7 | Jiangsu | 0.2553 | 7 | Anhui | 0.1934 | 7 | Tianjin | 0.4736 |
8 | Zhejiang | 0.7665 | 8 | Anhui | 0.7209 | 8 | Guangdong | 0.2543 | 8 | Hainan | 0.1728 | 8 | Sichuan | 0.4697 |
9 | Anhui | 0.7618 | 9 | Henan | 0.7189 | 9 | Jilin | 0.2508 | 9 | Jiangsu | 0.1708 | 9 | Jiangsu | 0.4641 |
10 | Jiangxi | 0.7540 | 10 | Hunan | 0.7152 | 10 | Hainan | 0.2500 | 10 | Jiangxi | 0.1700 | 10 | Anhui | 0.4626 |
