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A sustainable, self-sufficient peer review algorithm for health-related YouTube videos: A proposal.

Mehmet Emin KavalFırat SarsarNurcan BuduneliPelin Güneri
Published in: Oral diseases (2023)
YouTube has recently become one of the major sources of information in the field of health. Not only healthcare professionals but also laypersons can upload videos to YouTube and this fact creates a significant heterogeneity in the content, viewpoint, and accuracy of the available videos. Particularly, those videos presenting personal experiences and inferences on health problems may not rely on scientific evidence thus create inaccurate information. This commentary aims to propose an algorithm to improve the accuracy and reliability of health-related YouTube videos.
Keyphrases
  • mental health
  • health information
  • public health
  • healthcare
  • machine learning
  • deep learning
  • drinking water
  • single cell
  • social media
  • human health
  • neural network
  • climate change