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Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19...

Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e876c27ce10f4b48acd56d2a678281b9

Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

About this item

Full title

Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

Journal title

Journal of medical Internet research, 2021-04, Vol.23 (4), p.e26627-e26627

Language

English

Formats

Publication information

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

More information

Scope and Contents

Contents

Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general public. As such, it is crucial that governments and public health agencies understand public sentiments toward...

Alternative Titles

Full title

Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e876c27ce10f4b48acd56d2a678281b9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e876c27ce10f4b48acd56d2a678281b9

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/26627

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