The Structure of Tweets About Vaccine Safety Between Health Organizations, Experts, and the Public: Analyzing Risk Communication Conversations.
Twitter
computational linguistics
conversation
engagement
risk communication
social media
Journal
Disaster medicine and public health preparedness
ISSN: 1938-744X
Titre abrégé: Disaster Med Public Health Prep
Pays: United States
ID NLM: 101297401
Informations de publication
Date de publication:
06 2022
06 2022
Historique:
pubmed:
23
10
2020
medline:
22
11
2022
entrez:
22
10
2020
Statut:
ppublish
Résumé
This article considers how health education organizations in the World Health Organization's 9 Vaccine Safety Network (VSN) use Twitter to communicate about vaccines with the public, and whether they answer questions and engage in conversations. Almost no research in public health, to our knowledge, has explored conversational structure on social media among posts sent by different accounts. Starting with 1,017,176 tweets by relevant users, we constructed 2 corpuses of multi-tweet conversations. The first was 1,814 conversations that included VSN members directly, whereas the second was 2,283 conversations mentioning vaccines or vaccine denialism. The tweets and user metadata were then analyzed using an adaptation of rhetorical structure theory. In the studied data, VSN members tweeted 12,677 times within conversations, compared to their 37,587 lone tweets. Their conversations were shorter than those in the comparison corpus (P < 0.0001), and they were involved in fewer multilogues (P < 0.0001). While there is diversity among organizations, most were tied to the pre-social media broadcast model. In the future, they should try to converse more, rather than tweet more, and embrace best practices in risk communication.
Identifiants
pubmed: 33089770
pii: S1935789320004048
doi: 10.1017/dmp.2020.404
pmc: PMC7943953
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM