000 02467nam a2200157 4500
005 20251106124420.0
008 251106b |||||||| |||| 00| 0 eng d
100 _aAvinash Rana
245 _aKetogenic diet: Assessing YouTube video information using quality, reliability, and text analytics methods
300 _aPP509-515
520 _aObjective Patients and the general audience refer social media platforms, such as YouTube, to learn and apply contemporary dietary methods. It is difficult for users to analyze the correctness and quality of information available on open platforms. Using scientific evaluation, this study assessed the quality, reliability, and content of YouTube videos on ketogenic diet (KD). Methods Three experienced medical practitioners reviewed and evaluated 95 videos. The quality and reliability of the videos were assessed using the quality criteria for consumer health information and the global quality scale (GQS). Topic modeling and sentiment analysis were employed to determine the dominant themes and polarity of the information. Results Three types of publishers (doctors, educational institutions, and influencers) were identified for the study. The mean length of videos posted by doctors was high at 42.24 min. The reliability and quality scores ranging from 0 (low) to 5 (high) had an average of 3.08 ± 1.14 and 3.18 ± 1.18, respectively, for sampled videos. One-way analysis of variance reveals significant differences in DISCERN and GQS scores among doctors, educational institutions, and influencers. Topic discovery identified four themes: keto versus glucose, diabetes, KD food, and major chronic diseases. Sentiment analysis reveals positive content polarity, some content shared by doctors had a neutral sentiment. Conclusion Content creators should augment the content by citing medical information and terminology. Viewers relied more on doctors for information related to KD. The aesthetic quality is high for all types of publishers. Publishers could focus on the discovered themes to create more content. Publishers should produce high-quality videos by improving esthetics (to increase engagement), and reliable medical information (to increase impact).
654 _aketogenic
_ahealth
_atopic models
_asentiment
_ayou tube
_aquality
_areliability
700 _a Monika Arora
773 0 _0132082
_9114107
_dCalifornia Sage Publications 2025
_tNutrition and Health
_x0260-1060
942 _cJA
999 _c133220
_d133220