Modeling U.S. health agencies' message dissemination on twitter and users' exposure to vaccine-related misinformation using system dynamics
18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021
; 2021-May:333-344, 2021.
Article
in English
| Scopus | ID: covidwho-1589538
ABSTRACT
This research intends to answer how do (i) generation frequency and (ii) retweeting count of health agencies' messages impact the exposure of the general users to vaccine-related misinformation on Twitter? We creatively employed a Susceptible-Infected-Recovered (SIR) System Dynamics paradigm to model interactions between message dissemination of 168 U.S. health agencies and proportions of users who are at different exposure statuses to misinformation, namely "Susceptible", "Infected", or "Recovered" status. The SIR model was built based on the vaccine-relevant tweets posted over November and December in 2020. Our preliminary outcomes suggest that augmenting the generation frequency of agencies' messages and increasing retweeting count can effectively moderate the exposure risk to vaccine-related misinformation. This model illustrates how health agencies may combat vaccine hesitancy through credible information dissemination on social media. It offers a novel approach for crisis informatics studies to model different information categories and the impacted population in the complex digital world. © 2021 Information Systems for Crisis Response and Management, ISCRAM. All rights reserved.
COVID-19; Misinformation; Social, media; System, dynamics; Vaccine, hesitancy; Health; Information, dissemination; Information, management; Information, systems; Information, use; System, theory; Vaccines; Crisis, informatics; Generation, frequency; Message, dissemination; Model, interaction; Susceptible-infected-recovered, model; Social, networking, (online)
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Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
Language:
English
Journal:
18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021
Year:
2021
Document Type:
Article
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