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

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