Investigation of the effects of YouTube videos about orthognathic surgery on people using machine learning-based emotion analysis algorithm

Objectives: This study aims to analyze the comments about orthognathic surgery-themed YouTube videos through artificial intelligence and remarking the emotional effects of videos on people. Material and Methods: In this study, the keyword “orthognathic surgery” was searched on YouTube. In pursuit of recording sub-video comments, comments were analyzed with a machine learning-based emotion analysis algorithm. Results: One thousand one hundred and forty-five comments were analyzed in the study. 2 of 4 surgery videos contain real surgery images. Two videos are animated videos about the details of the surgery. Emotions described in comments are sorted as fear (43.7%), joy (21%), anger (14.6%), and sadness (11.6%). Where comments are reviewed in the aspect of sentiment, negative comments were dense (59.3%), respectively, followed by positive (18.3%), very negative (10.6%), and very positive (2.7 %). Regarding sentiment, differences in comments on real and animation surgery videos are statistically significant ( P < 0.05). A significance level of very negative comments was higher in real surgery videos ( P = 0.015). Conclusion: Different video formats, animation or real videos, may be used for informing, but we think that watching real surgical operation videos may increase people’s preoperative anxiety.