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. 2021 Jun 22;69(2):234–241. doi: 10.1016/j.jadohealth.2021.05.010

Table 2.

Proportion of TikTok videos themes for misleading/incorrect videos in each month

Included January 2020
February 2020
March 2020
n
Percent
n
Percent
n
Percent
77 36.10% 64 27.47% 37 20.22%
Intended validity
 Informativeab 42 54.55% 17 26.56% 11 29.73%
Video production
 Actionac 75 97.40% 59 92.19% 30 81.08%
 Postprocessing effects 12 15.58% 12 18.75% 5 13.51%
 Static images 1 1.30% 4 6.25% 2 5.41%
 Text on screenac 55 71.43% 44 68.75% 21 56.76%
Video sentiment
 Humor/parodyac 45 58.44% 47 73.44% 21 56.76%
 Fearabc 37 48.05% 22 34.38% 5 13.51%
 Empathyc 2 2.60% 5 7.81% 0 .00%
 Neutralb 11 14.29% 3 4.69% 8 21.62%
Video content
 Exposeabc 22 28.57% 10 15.63% 3 8.11%
 Healthac 29 37.66% 34 53.13% 13 35.14%
 Mapsa 4 5.19% 1 1.56% 0 .00%
 Dancinga 9 11.69% 3 4.69% 1 2.70%
 Healthcare workers 6 7.79% 6 9.38% 2 5.41%
 Political 4 5.19% 5 7.81% 2 5.41%
 Racial Commentac 16 20.78% 14 21.88% 1 2.70%
 Technologyab 19 24.68% 7 10.94% 3 8.11%
a

p value < .05 comparing January with February 2020.

b

p value < .05 comparing February with March 2020.

c

p value < .05 comparing January with March 2020 (two-proportions Z-test).