| Title |
Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate
|
|---|---|
| Published in |
American Journal of Public Health, August 2018
|
| DOI | 10.2105/ajph.2018.304567 |
| Pubmed ID | |
| Authors |
David A Broniatowski, Amelia M Jamison, SiHua Qi, Lulwah AlKulaib, Tao Chen, Adrian Benton, Sandra C Quinn, Mark Dredze |
| Abstract |
To understand how Twitter bots and trolls ("bots") promote online health content. We compared bots' to average users' rates of vaccine-relevant messages, which we collected online from July 2014 through September 2017. We estimated the likelihood that users were bots, comparing proportions of polarized and antivaccine tweets across user types. We conducted a content analysis of a Twitter hashtag associated with Russian troll activity. Compared with average users, Russian trolls (χ2(1) = 102.0; P < .001), sophisticated bots (χ2(1) = 28.6; P < .001), and "content polluters" (χ2(1) = 7.0; P < .001) tweeted about vaccination at higher rates. Whereas content polluters posted more antivaccine content (χ2(1) = 11.18; P < .001), Russian trolls amplified both sides. Unidentifiable accounts were more polarized (χ2(1) = 12.1; P < .001) and antivaccine (χ2(1) = 35.9; P < .001). Analysis of the Russian troll hashtag showed that its messages were more political and divisive. Whereas bots that spread malware and unsolicited content disseminated antivaccine messages, Russian trolls promoted discord. Accounts masquerading as legitimate users create false equivalency, eroding public consensus on vaccination. Public Health Implications. Directly confronting vaccine skeptics enables bots to legitimize the vaccine debate. More research is needed to determine how best to combat bot-driven content. (Am J Public Health. Published online ahead of print August 23, 2018: e1-e7. doi:10.2105/AJPH.2018.304567). |
X Demographics
The data shown below were collected from the profiles of 10,354 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3737 | 36% |
| Canada | 302 | 3% |
| United Kingdom | 243 | 2% |
| Poland | 214 | 2% |
| Ukraine | 104 | 1% |
| Germany | 67 | <1% |
| France | 60 | <1% |
| Australia | 57 | <1% |
| Spain | 48 | <1% |
| Other | 634 | 6% |
| Unknown | 4888 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9259 | 89% |
| Scientists | 498 | 5% |
| Practitioners (doctors, other healthcare professionals) | 314 | 3% |
| Science communicators (journalists, bloggers, editors) | 265 | 3% |
| Unknown | 18 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 831 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 831 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 123 | 15% |
| Student > Ph. D. Student | 121 | 15% |
| Researcher | 89 | 11% |
| Student > Bachelor | 87 | 10% |
| Student > Doctoral Student | 41 | 5% |
| Other | 136 | 16% |
| Unknown | 234 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 151 | 18% |
| Computer Science | 64 | 8% |
| Medicine and Dentistry | 62 | 7% |
| Nursing and Health Professions | 46 | 6% |
| Psychology | 31 | 4% |
| Other | 198 | 24% |
| Unknown | 279 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7304. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2024.
All research outputs
#381
of 25,768,270 outputs
Outputs from American Journal of Public Health
#1
of 12,807 outputs
Outputs of similar age
#3
of 343,582 outputs
Outputs of similar age from American Journal of Public Health
#1
of 181 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.3. This one has done particularly well, scoring higher than 99% of its peers.
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We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.