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Table 4 Frequency of content codes across media language based on the analysis of the 788 news articles selected using constructed-week sampling

From: Drivers of global media attention and representations for antimicrobial resistance risk: an analysis of online English and Chinese news media data, 2015–2018

 

English news (N = 527) (%)

Chinese news (N = 261) (%)

Total (N = 788) (%)

Headline framing on AMR

84.2

78.9

82.5

Medical terms

44.2**

34.5

41.0

Superbug

38.3

43.3

40.0

Doomsday (e.g., antibiotic apocalypse, post-antibiotic era)

4.7

6.5

5.3

Military term (e.g., battle, war)

6.3*

2.3

4.9

Catastrophic (e.g., crisis, disaster)

1.5

1.1

1.4

Cause

49.5***

63.2

54.1

Inappropriate AMU

33.8*

42.5

36.7

AMU in animals

11.9

15.3

13.1

AMU in the health sector

12.9

10.0

11.9

AMU in the general consumers

5.9***

14.2

8.6

Microbial evolution

19.9**

30.6

23.5

Consequence

58.6*

67.0

61.4

Health consequences

57.1**

67.0

60.4

Economic consequences

7.6

6.9

7.4

Victim

35.1***

52.1

40.7

Vulnerable individuals

26.6*

34.5

29.2

General public

9.5***

21.8

13.4

Controllability

21.2***

39.5

27.3

Positive

11.4***

26.4

16.4

Negative

9.8

13.0

10.9

Solution

78.9

81.2

79.7

Technoscientific solutions

40.4

34.1

38.3

Appropriate antimicrobial use (AMU)

26.0

29.1

27.0

Political/organizational solutions

23.5

28.7

25.2

Personal hygiene

21.1

26.8

23.0

Others (e.g. vaccination, breastfeeding)

4.5

2.7

3.9

  1. *p < 0.05; **p < 0.01; ***p < 0.001
  2. All p values were calculated based on Pearson chi-square differences in the frequency of the code between the English and Chinese new articles