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

Infodemiology and Infoveillance (1278) JMIR Theme Issue: COVID-19 Special Issue (2394) Early Results from COVID-19 Studies (281) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Information Quality in Digital Media (318) Vaccination and Immunization in the Digital Age (347) Infodemic Management (44)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49061, first published .
Exploring YouTube’s Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories

Exploring YouTube’s Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories

Exploring YouTube’s Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories

Authors of this article:

Yee Man Margaret Ng1, 2 Author Orcid Image ;   Katherine Hoffmann Pham1 Author Orcid Image ;   Miguel Luengo-Oroz1, 3 Author Orcid Image
Article Authors Cited by Tweetations (11) Metrics

Yee Man Margaret Ng   1, 2 , PhD ;   Katherine Hoffmann Pham   1 , PhD ;   Miguel Luengo-Oroz   1, 3 , PhD

1 UN Global Pulse, New York, NY, United States

2 Department of Journalism & Institute of Communications Research, University of Illinois at Urbana-Champaign, Champaign, IL, United States

3 Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, ISCIII, Madrid, Spain

Corresponding Author:

  • Yee Man Margaret Ng, PhD
  • Department of Journalism & Institute of Communications Research
  • University of Illinois at Urbana-Champaign
  • 810 S Wright St
  • Champaign, IL, 61801
  • United States
  • Phone: 1 217-300-8186
  • Email: margaretnym@gmail.com