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The anti-vaccination infodemic on social media: A behavioral analysis

Overview of attention for article published in PLOS ONE, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
30 news outlets
blogs
2 blogs
policy
1 policy source
twitter
662 X users
facebook
1 Facebook page

Citations

dimensions_citation
221 Dimensions

Readers on

mendeley
556 Mendeley
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Title
The anti-vaccination infodemic on social media: A behavioral analysis
Published in
PLOS ONE, March 2021
DOI 10.1371/journal.pone.0247642
Pubmed ID
Authors

Federico Germani, Nikola Biller-Andorno

Abstract

Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is hope that they can constitute a solution to halt the ongoing COVID-19 pandemic. However, the anti-vaccination movement is currently on the rise, spreading online misinformation about vaccine safety and causing a worrying reduction in vaccination rates worldwide. In this historical time, it is imperative to understand the reasons of vaccine hesitancy, and to find effective strategies to dismantle the rhetoric of anti-vaccination supporters. For this reason, we analyzed the behavior of anti-vaccination supporters on the platform Twitter. Here we identify that anti-vaccination supporters, in comparison with pro-vaccination supporters, share conspiracy theories and make use of emotional language. We demonstrate that anti-vaccination supporters are more engaged in discussions on Twitter and share their contents from a pull of strong influencers. We show that the movement's success relies on a strong sense of community, based on the contents produced by a small fraction of profiles, with the community at large serving as a sounding board for anti-vaccination discourse to circulate online. Our data demonstrate that Donald Trump, before his profile was suspended, was the main driver of vaccine misinformation on Twitter. Based on these results, we welcome policies that aim at halting the circulation of false information about vaccines by targeting the anti-vaccination community on Twitter. Based on our data, we also propose solutions to improve the communication strategy of health organizations and build a community of engaged influencers that support the dissemination of scientific insights, including issues related to vaccines and their safety.

X Demographics

X Demographics

The data shown below were collected from the profiles of 662 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 556 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 556 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 65 12%
Student > Bachelor 65 12%
Student > Ph. D. Student 43 8%
Researcher 42 8%
Student > Postgraduate 22 4%
Other 91 16%
Unknown 228 41%
Readers by discipline Count As %
Social Sciences 75 13%
Medicine and Dentistry 47 8%
Nursing and Health Professions 44 8%
Psychology 31 6%
Computer Science 17 3%
Other 98 18%
Unknown 244 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 753. 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 25 March 2024.
All research outputs
#26,716
of 25,779,988 outputs
Outputs from PLOS ONE
#433
of 224,668 outputs
Outputs of similar age
#1,089
of 454,823 outputs
Outputs of similar age from PLOS ONE
#12
of 2,947 outputs
Altmetric has tracked 25,779,988 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 224,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 454,823 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 2,947 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.