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

Viewpoints and Perspectives (484) JMIR Theme Issue: COVID-19 Special Issue (2391) Outbreak and Pandemic Preparedness and Management (1675) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Infectious Diseases (non-STD/STI) (1485) Mass Media/Social Media Communication and Campaigns (448) Infodemiology and Infoveillance (1274) Artificial Intelligence (1198) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) Infoveillance and Social Listening (181)

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
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