Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States: 2017-2019.

Dunn, Adam G; Surian, Didi; Dalmazzo, Jason; Rezazadegan, Dana; Steffens, Maryke; Dyda, Amalie; Leask, Julie; Coiera, Enrico et al. · Am J Public Health · 2020

cross_sectional · Level IV

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Abstract

<i>Objectives.</i> To examine the role that bots play in spreading vaccine information on Twitter by measuring exposure and engagement among active users from the United States.<i>Methods.</i> We sampled 53 188 US Twitter users and examined who they follow and retweet across 21 million vaccine-related tweets (January 12, 2017-December 3, 2019). Our analyses compared bots to human-operated accounts and vaccine-critical tweets to other vaccine-related tweets.<i>Results.</i> The median number of potential exposures to vaccine-related tweets per user was 757 (interquartile range [IQR] = 168-4435), of which 27 (IQR = 6-169) were vaccine critical, and 0 (IQR = 0-12) originated from bots. We found that 36.7% of users retweeted vaccine-related content, 4.5% retweeted vaccine-critical content, and 2.1% retweeted vaccine content from bots. Compared with other users, the 5.8% for whom vaccine-critical tweets made up most exposures more often retweeted vaccine content (62.9%; odds ratio [OR] = 2.9; 95% confidence interval [CI] = 2.7, 3.1), vaccine-critical content (35.0%; OR = 19.0; 95% CI = 17.3, 20.9), and bots (8.8%; OR = 5.4; 95% CI = 4.7, 6.3).<i>Conclusions.</i> A small proportion of vaccine-critical information that reaches active US Twitter users comes from bots.

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