This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (514) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infectious Diseases (non-STD/STI) (1575) Mass Media/Social Media Communication and Campaigns (461) Infodemiology and Infoveillance (1349) Artificial Intelligence (1371) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Infoveillance and Social Listening (209)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26618, first published .
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Authors of this article:

Kathrin Cresswell1 Author Orcid Image ;   Ahsen Tahir2, 3 Author Orcid Image ;   Zakariya Sheikh4 Author Orcid Image ;   Zain Hussain4 Author Orcid Image ;   Andrés Domínguez Hernández5 Author Orcid Image ;   Ewen Harrison1 Author Orcid Image ;   Robin Williams6 Author Orcid Image ;   Aziz Sheikh1 Author Orcid Image ;   Amir Hussain2 Author Orcid Image
Article Authors Cited by (28) Tweetations (13) Metrics

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