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. 2021 Mar 25;23(3):e27009. doi: 10.2196/27009

Table 2.

Topic distribution of original rumor rebuttal tweets and their retweets and comments.

Topic Original tweets, n (%)a Retweets, n (%)a Comments, n (%)a

Users (n=51) Tweets (n=55) Users (n=16,707) Retweets (n=18,118) Users (n=4863) Comments (n=6064)
Virus 3 (6) 3 (5) 1204 (7.2) 1207 (6.7) 266 (5.5) 355 (5.8)
Contagion 3 (6) 3 (5) 230 (1.4) 233 (1.3) 233 (4.8) 343 (5.7)
Prevention 6 (12) 8 (15) 2235 (13.4) 2471 (13.6) 759 (15.6) 896 (14.8)
Patients 4 (8) 4 (7) 1132 (6.8) 1137 (6.3) 399 (8.2) 414 (6.8)
Treatment 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0)
Sequelae 1 (2) 1 (2) 242 (1.4) 242 (1.3) 29 (0.6) 30 (0.5)
Epidemic situation 25 (49) 25 (46) 2693 (16.1) 2835 (15.6) 1980 (40.7) 2603 (42.9)
Domestic government countermeasures 5 (10) 5 (9) 364 (2.2) 372 (2.1) 374 (7.7) 462 (7.6)
Other domestic countermeasures 1 (2) 1 (2) 25 (0.1) 25 (0.1) 30 (0.6) 35 (0.6)
Foreign countermeasures 4 (8) 4 (7) 2813 (16.8) 2823 (15.6) 526 (10.8) 575 (9.5)
Others 1 (2) 1 (2) 6773 (40.5) 6773 (37.4) 309 (6.4) 351 (5.8)

aPercentages may add up to greater than 100% because one user may post multiple original tweets among which each tweet belongs to a specific topic.