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. 2018 Feb 22;15:E26. doi: 10.5888/pcd15.170320

Table. Tweet Characteristics, by Spike, Compared With Full Sample of Tweets, Study of Twitter Messages Related to the Human Papillomavirus Vaccine, August 2014–July 2015a .

Characteristic Type of Tweet
Full Sample of Tweets, August 2014–July 2015 (n = 193,379)
Health Professional User (n = 851) Parent Audience (n = 1,043) Health Professional to Parent Audience (n = 89)
Spike range, dates 4/10/15–4/16/15 2/1/15–2/7/15 1/19–1/25/15
Day with most tweets Monday 4/13/15 Wednesday 2/4/15 Thursday 1/22/15 Wednesday 4/29/15
No. of followers per tweet
Mean 1,015 1,501 888 1,493
Median 396 454 395 440
Original/retweet, no (%)b
Tweet is original 425 (49.9) 30 (2.9) 9 (10.1) 108,974 (56.4)
Tweet is a retweet 426 (50.1) 1,013 (97.1) 80 (89.9) 84,405 (43.6)
Links (URL) per Tweet, no (%)b
0 152 (17.9) 1,035 (99.2) 73 (82.0) 55,320 (28.6)
1 564 (66.3) 7 (0.7) 10 (11.2) 116,701 (60.4)
≥2 135 (15.9) 1 (0.1) 6 (6.7) 21,358 (11.0)
Mentions (@) per Tweet, no (%)b
0 346 (40.7) 23 (2.2) 7 (7.9) 81,330 (42.1)
1 385 (45.2) 711 (68.2) 48 (53.9) 79,653 (41.2)
2 or more 120 (14.1) 309 (29.6) 34 (38.2) 32,396 (16.7)
Hashtags (#) per Tweet, no (%)b
0 486 (57.1) 429 (41.1) 14 (15.7) 106,413 (55.0)
1 194 (22.8) 375 (36.0) 29 (32.6) 36,892 (19.1)
≥2 171 (20.1) 239 (22.9) 46 (51.7) 50,074 (25.9)
Spike sentiment, no (%)b
Positive 567 (66.6) 491 (47.1) 32 (36.0) 75,393 (39.0)
Negative 99 (11.6) 199 (19.1) 4 (4.5) 48,940 (25.3)
Neutral 102 (12.0) 133 (12.8) 8 (9.0) 25,110 (13.0)
No mention of vaccine 83 (9.8) 220 (21.1) 45 (50.6) 43,936 (22.7)
Spike content, no (%)b
Resource/information 554 (65.1) 365 (35.0) 41 (46.1) 98,484 (50.9)
Personal experience/opinion 290 (34.1) 625 (59.9) 46 (51.7) 91,042 (47.1)
Joke or parody 3 (0.4) 53 (5.1) 2 (2.2) 3,428 (17.7)
Other 4 (0.5) 0 0 425 (0.2)
Spike vaccine characteristics, no (%)c
Side effectsb 91 (10.7) 177 (17.0) 11 (12.4) 42,989 (22.2)
Prevention/protectionb 302 (35.5) 125 (12.0) 5 (5.6) 36,591 (18.9)
Risk/prevalenceb 88 (10.3) 183 (17.5) 14 (15.7) 21,529 (11.1)
Men/boysb 526 (61.8) 94 (9.0) 16 (18.0) 18,971 (9.8)
Women/girlsd 83 (9.8) 138 (13.2) 8 (9.0) 21,407 (11.1)
a

To measure significant differences across spikes, we used χ2 tests for categorical variables, analysis of variance for continuous variables, and the Kruskal–Wallis nonparametric test for medians.

b

P < .001.

c

Not mutually exclusive.

d

P = .04.