Table 4. Content, Qualifiers, and Links of Manually Coded H1N1 Tweets.
| ------------------------ Type of Tweets, No. (%) ------------------------ | |||||||||||
| May 11(n = 600) | June 8(n = 600) | July 6(n = 600) | Aug 3(n = 600) | Aug 31(n = 600) | Sept 28a(n = 595) | Oct 26(n = 600) | Nov 23(n = 600) | Dec 21(n = 600) | Total (5395) | p Value, trend | |
| Content | |||||||||||
| Resources | 291 (49) | 330 (55) | 252 (42) | 284 (47) | 352 (59) | 302 (51) | 296 (49) | 366 (61) | 367 (61) | 2840 (53) | <.001 * |
| Personal Experiences | 107 (18) | 119 (20) | 140 (23) | 150 (25) | 94 (16) | 158 (27) | 176 (29) | 138 (23) | 132 (22) | 1214 (23) | .01 * |
| Personal Opinion | 81 (14) | 80 (14) | 147 (25) | 93 (16) | 76 (13) | 82 (14) | 78 (13) | 51 (9) | 52 (9) | 740 (14) | <.001 * |
| Jokes | 100 (17) | 53 (9) | 50 (8) | 52 (9) | 45 (8) | 28 (5) | 28 (5) | 30 (5) | 35 (6) | 421 (8) | <.001 * |
| Marketing | 7 (1) | 10 (2) | 6 (1) | 15 (3) | 10 (2) | 2 (0) | 2 (0) | 9 (2) | 11 (2) | 72 (1) | .72 |
| Spam | 14 (2) | 8 (1) | 5 (1) | 6 (1) | 23 (4) | 23 (4) | 20 (3) | 6 (1) | 3 (1) | 108 (2) | .91 |
| Qualifiers b | |||||||||||
| Humour | 129 (22) | 81 (14) | 72 (12) | 87 (15) | 59 (10) | 65 (11) | 63 (11) | 58 (10) | 73 (12) | 687 (13) | <.001 * |
| Relief | 13 (2) | 3 (1) | 6 (1) | 10 (2) | 7 (1) | 5 (1) | 15 (3) | 9 (2) | 13 (2) | 81 (2) | .18 |
| Downplayed Risk | 17 (3) | 14 (2) | 10 (2) | 19 (3) | 7 (1) | 7 (1) | 20 (3) | 11 (2) | 1 (0) | 106 (2) | .014 * |
| Concern | 47 (8) | 57 (10) | 105 (18) | 85 (14) | 69 (12) | 81 (14) | 76 (13) | 57 (10) | 56 (9) | 633 (12) | .677 |
| Frustration | 25 (4) | 27 (5) | 29 (5) | 32 (5) | 23 (4) | 33 (6) | 18 (3) | 13 (2) | 12 (2) | 212 (4) | .002 * |
| Misinform. | 23 (4) | 13 (2) | 13 (2) | 55 (9) | 37 (6) | 34 (6) | 28 (5) | 26 (4) | 14 (2) | 243 (5) | .756 |
| Question | 66 (11) | 60 (10) | 76 (13) | 59 (10) | 63 (11) | 47 (8) | 84 (14) | 49 (8) | 51 (9) | 555 (10) | .125 |
| Links c | |||||||||||
| News Websites | 141 (24) | 159 (27) | 119 (20) | 142 (24) | 172 (29) | 140 (24) | 138 (23) | 126 (21) | 116 (19) | 1253 (23) | .04 * |
| News Blogs, Feeds, or Niche News | 72 (12) | 76 (13) | 40 (7) | 62 (10) | 76 (13) | 47 (8) | 69 (12) | 79 (13) | 111 (19) | 632 (12) | .001 * |
| Government or Public Health | 9 (2) | 8 (1) | 11 (2) | 9 (2) | 5 (1) | 10 (2) | 11 (2) | 8 (1) | 10 (2) | 81 (2) | .826 |
| Personal Blogs | 8 (1) | 14 (2) | 20 (3) | 7 (1) | 11 (2) | 5 (1) | 16 (3) | 12 (2) | 6 (1) | 99 (2) | .348 |
| Social Networks | 6 (1) | 13 (2) | 9 (2) | 12 (2) | 6 (1) | 19 (3) | 26 (4) | 19 (3) | 22 (4) | 132 (2) | <.001 * |
| Online Stores | 12 (2) | 1 (0) | 7 (1) | 17 (3) | 8 (1) | 1 (0) | 1 (0) | 6 (1) | 13 (2) | 66 (1) | .668 |
| Other | 39 (7) | 33 (6) | 41 (7) | 48 (8) | 75 (13) | 73 (12) | 45 (8) | 92 (15) | 64 (11) | 510 (10) | <.001 * |
| No Reference | 23 (4) | 56 (9) | 78 (13) | 50 (8) | 32 (5) | 26 (4) | 19 (3) | 25 (4) | 17 (3) | 326 (6) | <.001 * |
| Not Accessible | 37 (6) | 30 (5) | 13 (2) | 14 (2) | 29 (5) | 20 (3) | 14 (2) | 33 (6) | 45 (8) | 235 (4) | .20 |
a
2300 hrs on Sept. 28 had only 20 eligible tweets.
b
The percent total will not equal 100% as not all tweets had qualifiers and tweets with multiple qualifiers were coded multiple times. Approximately 40% of tweets contained qualifiers.
c
The total will not equal to 100% as not all tweets had links. Approximately 60% of tweets contained links.
*chi-square test for trend significant at p<0.05.