Evidence map›Paper›PMID 33995521›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2021

[Content Themes and Influential Voices Within Vaccine Opposition on Twitter, 2019].

Erika Bonnevie, Jaclyn Goldbarg, Allison K Gallegos-Jeffry, Sarah D Rosenberg, Ellen Wartella, Joe Smyser

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Erika BonnevieThe Public Good Projects Alexandria Estados Unidos de América The Public Good Projects, Alexandria, Estados Unidos de América.
Jaclyn GoldbargThe Public Good Projects Alexandria Estados Unidos de América The Public Good Projects, Alexandria, Estados Unidos de América.
Allison K Gallegos-JeffryThe Public Good Projects Alexandria Estados Unidos de América The Public Good Projects, Alexandria, Estados Unidos de América.
Sarah D RosenbergThe Public Good Projects Alexandria Estados Unidos de América The Public Good Projects, Alexandria, Estados Unidos de América.
Ellen WartellaNorthwestern School of Communication Evanston Estados Unidos de América Northwestern School of Communication, Evanston, Estados Unidos de América.
Joe SmyserThe Public Good Projects Alexandria Estados Unidos de América The Public Good Projects, Alexandria, Estados Unidos de América.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo report on vaccine opposition and misinformation promoted on Twitter, highlighting Twitter accounts that drive conversation.

methodsWe used supervised machine learning to code all Twitter posts. We first identified codes and themes manually by using a grounded theoretical approach and then applied them to the full data set algorithmically. We identified the top 50 authors month-over-month to determine influential sources of information related to vaccine opposition.

resultsThe data collection period was June 1 to December 1, 2019, resulting in 356 594 mentions of vaccine opposition. A total of 129 Twitter authors met the qualification of a top author in at least 1 month. Top authors were responsible for 59.5% of vaccine-opposition messages. We identified 10 conversation themes. Themes were similarly distributed across top authors and all other authors mentioning vaccine opposition. Top authors appeared to be highly coordinated in their promotion of misinformation within themes.

conclusionsPublic health has struggled to respond to vaccine misinformation. Results indicate that sources of vaccine misinformation are not as heterogeneous or distributed as it may first appear given the volume of messages. There are identifiable upstream sources of misinformation, which may aid in countermessaging and public health surveillance.

Identifiers

PMID33995521
PMCPMC8110876

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