Research Article
COVID-19 Information on YouTube: Analysis of Quality and Reliability of Videos in Eleven Widely Spoken Languages across Africa
Table 3
Distribution of the content and source type across language.
| | Contents | English (n = 75) | isiZulu (n = 54) | isiXhosa (n = 49) | Afrikaans (n = 50) | Nigerian Pidgin (n = 53) | Hausa (n = 40) | Twi (n = 45) | Arabic (n = 50) | French (n = 46) | Swahili (n = 50) | Amharic (n = 50) |
| | Overall content no (%) | | Informative | 53(70.1) | 47 (87) | 45 (91.8) | 46 (92) | 42 (79.3) | 33 (82.5) | 43 (95.6) | 27 (54) | 38 (82.6) | 47 (94) | 50 (100) | | Misleading | 0 (0) | 1 (2) | 0 (0) | 2 (4) | 3 (6) | 3 (6) | 1 (2) | 0 (0) | 2 (4) | 0 (0) | 0 (0) | | News update | 17 (34) | 0 (0) | 1 (2) | 0 (0) | 8 (16) | 4 (8) | 0 (0) | 21 (42) | 5 (10) | 3 (6) | 0 (0) | | Personal experience | 5 (10) | 6 (12) | 3 (6) | 2 (4) | 0 (0) | 0 (0) | 1 (2) | 2 (4) | 1 (2) | 0 (0) | 0 (0) |
| | Source no (%) | | Independent users | 22 (29) | 36 (67) | 13 (27) | 27 (54) | 25 (47) | 12 (30) | 25 (56) | 16 (32) | 20 (43) | 23 (46) | 27 (54) | | Government | 5 (7) | 3 (6) | 15 (31) | 5 (10) | 2 (4) | 4 (10) | 4 (9) | 5 (10) | 11 (24) | 9 (18) | 21 (42) | | News agency | 27 (36) | 1 (2) | 2 (4) | 1 (2) | 16 (30) | 19 (48) | 3 (7) | 29 (58) | 7 (15) | 13 (26) | 0 (0) | | Academic institutions/hospitals | 21 (28) | 13 (24) | 19 (39) | 14 (28) | 6 (11) | 5 (13) | 7 (16) | 0 (0) | 3 (7) | 5 (10) | 0 (0) | | Medical advertisements/for-profit companies | 0 (0) | 1 (2) | 0 (0) | 3 (6) | 4 (8) | 0 (0) | 6 (13) | 0 (0) | 5 (11) | 0 (0) | 2 (4) |
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