Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques.

Journal: Journal of medical Internet research

PMID: 33544690

Abstract

BACKGROUND: During the COVID-19 pandemic in Canada, Prime Minister Justin Trudeau provided updates on the novel coronavirus and the government's responses to the pandemic in his daily briefings from March 13 to May 22, 2020, delivered on the official Canadian Broadcasting Corporation (CBC) YouTube channel.

Authors

Chengda Zheng

Faculty of Information, University of Toronto, Toronto, ON, Canada.
Jia Xue

Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.
Yumin Sun

Faculty of Information, University of Toronto, Toronto, ON, Canada.
Tingshao Zhu

CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Keywords

Canada COVID-19 COVID-19 Vaccines Emigration and Immigration Federal Government Financial Stress Financing, Government Government Humans Longitudinal Studies Natural Language Processing Pandemics Personal Protective Equipment Public Health Public Opinion Public Policy Quarantine SARS-CoV-2 Social Media Unsupervised Machine Learning

External Resources

View on PubMed Access via DOI PubMed (33544690)

Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques.

Abstract

Authors

Keywords

External Resources

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