A sustainable, self-sufficient peer review algorithm for health-related YouTube videos: A proposal
Makaleler > Tam Makale · 2023
Yazarlar: Mehmet Emin KAVAL, Fırat SARSAR, Nurcan Gülsüm BUDUNELİ, Pelin GÜNERİ
Oral Diseases, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Scopus, 2023
DOI: 10.1111/odi.14555
Özet
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.