Network Analysis of COVID-19 Vaccine Misinformation on Social Media

Chad Melton; Olufunto A. Olusanya; Arash Shaban-Nejad

doi:10.3233/SHTI210839

Network Analysis of COVID-19 Vaccine Misinformation on Social Media

Chad Melton
, Olufunto A. Olusanya
, Arash Shaban-Nejad

Human Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Almost half of the world population has received at least one dose of vaccine against the COVID-19 virus. However, vaccine hesitancy amongst certain populations is driving new waves of infections at alarming rates. The popularity of online social media platforms attracts supporters of the anti-vaccination movement who spread misinformation about vaccine safety and effectiveness. We conducted a semantic network analysis to explore and analyze COVID-19 vaccine misinformation on the Reddit social media platform.

Original language	English
Title of host publication	Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference
Editors	Jaime Delgado, Arriel Benis, Paula de Toledo, Parisis Gallos, Mauro Giacomini, Alicia Martinez-Garcia, Dario Salvi
Publisher	IOS Press BV
Pages	165-166
Number of pages	2
ISBN (Electronic)	9781643682365
DOIs	https://doi.org/10.3233/SHTI210839
State	Published - Nov 18 2021
Event	2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021 - Virtual, Online, Spain Duration: Nov 22 2021 → Nov 24 2021

Publication series

Name	Studies in Health Technology and Informatics
Volume	287
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021
Country/Territory	Spain
City	Virtual, Online
Period	11/22/21 → 11/24/21

Keywords

misinformation
semantic analysis
social media
vaccine hesitancy
Vaccines

Access to Document

10.3233/SHTI210839

Cite this

Melton, C., Olusanya, O. A., & Shaban-Nejad, A. (2021). Network Analysis of COVID-19 Vaccine Misinformation on Social Media. In J. Delgado, A. Benis, P. de Toledo, P. Gallos, M. Giacomini, A. Martinez-Garcia, & D. Salvi (Eds.), Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference (pp. 165-166). (Studies in Health Technology and Informatics; Vol. 287). IOS Press BV. https://doi.org/10.3233/SHTI210839

Melton, Chad ; Olusanya, Olufunto A. ; Shaban-Nejad, Arash. / Network Analysis of COVID-19 Vaccine Misinformation on Social Media. Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference. editor / Jaime Delgado ; Arriel Benis ; Paula de Toledo ; Parisis Gallos ; Mauro Giacomini ; Alicia Martinez-Garcia ; Dario Salvi. IOS Press BV, 2021. pp. 165-166 (Studies in Health Technology and Informatics).

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title = "Network Analysis of COVID-19 Vaccine Misinformation on Social Media",

abstract = "Almost half of the world population has received at least one dose of vaccine against the COVID-19 virus. However, vaccine hesitancy amongst certain populations is driving new waves of infections at alarming rates. The popularity of online social media platforms attracts supporters of the anti-vaccination movement who spread misinformation about vaccine safety and effectiveness. We conducted a semantic network analysis to explore and analyze COVID-19 vaccine misinformation on the Reddit social media platform.",

keywords = "misinformation, semantic analysis, social media, vaccine hesitancy, Vaccines",

author = "Chad Melton and Olusanya, \{Olufunto A.\} and Arash Shaban-Nejad",

note = "Publisher Copyright: {\textcopyright} 2021 The European Federation for Medical Informatics (EFMI) and IOS Press. All rights reserved.; 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021 ; Conference date: 22-11-2021 Through 24-11-2021",

year = "2021",

month = nov,

day = "18",

doi = "10.3233/SHTI210839",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press BV",

pages = "165--166",

editor = "Jaime Delgado and Arriel Benis and \{de Toledo\}, Paula and Parisis Gallos and Mauro Giacomini and Alicia Martinez-Garcia and Dario Salvi",

booktitle = "Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference",

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Melton, C, Olusanya, OA & Shaban-Nejad, A 2021, Network Analysis of COVID-19 Vaccine Misinformation on Social Media. in J Delgado, A Benis, P de Toledo, P Gallos, M Giacomini, A Martinez-Garcia & D Salvi (eds), Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference. Studies in Health Technology and Informatics, vol. 287, IOS Press BV, pp. 165-166, 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021, Virtual, Online, Spain, 11/22/21. https://doi.org/10.3233/SHTI210839

Network Analysis of COVID-19 Vaccine Misinformation on Social Media. / Melton, Chad; Olusanya, Olufunto A.; Shaban-Nejad, Arash.
Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference. ed. / Jaime Delgado; Arriel Benis; Paula de Toledo; Parisis Gallos; Mauro Giacomini; Alicia Martinez-Garcia; Dario Salvi. IOS Press BV, 2021. p. 165-166 (Studies in Health Technology and Informatics; Vol. 287).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Melton, Chad

AU - Olusanya, Olufunto A.

AU - Shaban-Nejad, Arash

PY - 2021/11/18

Y1 - 2021/11/18

N2 - Almost half of the world population has received at least one dose of vaccine against the COVID-19 virus. However, vaccine hesitancy amongst certain populations is driving new waves of infections at alarming rates. The popularity of online social media platforms attracts supporters of the anti-vaccination movement who spread misinformation about vaccine safety and effectiveness. We conducted a semantic network analysis to explore and analyze COVID-19 vaccine misinformation on the Reddit social media platform.

AB - Almost half of the world population has received at least one dose of vaccine against the COVID-19 virus. However, vaccine hesitancy amongst certain populations is driving new waves of infections at alarming rates. The popularity of online social media platforms attracts supporters of the anti-vaccination movement who spread misinformation about vaccine safety and effectiveness. We conducted a semantic network analysis to explore and analyze COVID-19 vaccine misinformation on the Reddit social media platform.

KW - misinformation

KW - semantic analysis

KW - social media

KW - vaccine hesitancy

KW - Vaccines

UR - https://www.scopus.com/pages/publications/85120520047

U2 - 10.3233/SHTI210839

DO - 10.3233/SHTI210839

M3 - Conference contribution

C2 - 34795104

AN - SCOPUS:85120520047

T3 - Studies in Health Technology and Informatics

SP - 165

EP - 166

BT - Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference

A2 - Delgado, Jaime

A2 - Benis, Arriel

A2 - de Toledo, Paula

A2 - Gallos, Parisis

A2 - Giacomini, Mauro

A2 - Martinez-Garcia, Alicia

A2 - Salvi, Dario

PB - IOS Press BV

T2 - 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021

Y2 - 22 November 2021 through 24 November 2021

ER -

Melton C, Olusanya OA, Shaban-Nejad A. Network Analysis of COVID-19 Vaccine Misinformation on Social Media. In Delgado J, Benis A, de Toledo P, Gallos P, Giacomini M, Martinez-Garcia A, Salvi D, editors, Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference. IOS Press BV. 2021. p. 165-166. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI210839

Network Analysis of COVID-19 Vaccine Misinformation on Social Media

Abstract

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Conference

Keywords

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