A public online resource to track COVID-19 misinfodemic.

COVID-19 Disinformation Misinfodemic Misinformation Narratives Social media

Journal

Social network analysis and mining
ISSN: 1869-5450
Titre abrégé: Soc Netw Anal Min
Pays: Germany
ID NLM: 101616226

Informations de publication

Date de publication:
2021
Historique:
received: 15 10 2020
revised: 03 02 2021
accepted: 06 04 2021
entrez: 11 5 2021
pubmed: 12 5 2021
medline: 12 5 2021
Statut: ppublish

Résumé

The COVID-19 pandemic has seen the rise of many unique online narratives through social media and other sources. They can range from theories about the origin of the virus, to misinformation regarding personal health measures. Such narratives have a direct impact on public health and safety. In an effort to inform the general public and with support of the Arkansas Attorney General's office our team sought to keep track of narratives for research purposes and provide near-real-time public documentation via a website with two main goals. The first is to track every unique narrative as curated by our analysts. This allows individuals to fact-check the information they consume. The second goal is to relay recommendations to the State Attorney General on how to detect such misinformation and avoid fraud and scams seeking to profit from this online fear and chaos. This paper showcases our website as well as some research findings from the data we collected. More broadly, this effort showcases a unique collaboration between scientists and policy makers to stem the flow of misinformation during a major public health crisis.

Identifiants

pubmed: 33972828
doi: 10.1007/s13278-021-00748-w
pii: 748
pmc: PMC8098788
doi:

Types de publication

Journal Article

Langues

eng

Pagination

45

Informations de copyright

© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021.

Déclaration de conflit d'intérêts

Conflict of interestThere are no conflicts of interest.

Références

Cureus. 2020 Mar 13;12(3):e7255
pubmed: 32292669
J Med Internet Res. 2020 Apr 28;22(4):e19118
pubmed: 32302966
Psychol Sci. 2020 Jul;31(7):770-780
pubmed: 32603243

Auteurs

Thomas Marcoux (T)

University of Arkansas At Little Rock, Little Rock, USA.

Katrin Galeano (K)

University of Arkansas At Little Rock, Little Rock, USA.

Rick Galeano (R)

University of Arkansas At Little Rock, Little Rock, USA.

Karen DiCicco (K)

University of Arkansas At Little Rock, Little Rock, USA.

Hayder Al Rubaye (H)

University of Arkansas At Little Rock, Little Rock, USA.

Esther Mead (E)

University of Arkansas At Little Rock, Little Rock, USA.

Nitin Agarwal (N)

University of Arkansas At Little Rock, Little Rock, USA.

Anna Galeano (A)

University of Arkansas At Little Rock, Little Rock, USA.

Classifications MeSH