YouTube as an information source in deep margin elevation: Reliability, accuracy and quality analysis

被引:1
|
作者
Ozdemir, Zeyneb Merve [1 ]
Yavuz, Sevim Atilan [2 ]
Surmelioglu, Derya Gursel [3 ]
机构
[1] Kahramanmaras Sutcu Imam Univ, Fac Dent, Dept Restorat Dent, Onikisubat, Kahramanmaras, Turkiye
[2] Mersin Univ, Fac Dent, Dept Restorat Dent, Mersin, Turkiye
[3] Gaziantep Univ, Fac Dent, Dept Restorat Dent, Sehitkamil, Gaziantep, Turkiye
来源
PLOS ONE | 2025年 / 20卷 / 02期
关键词
HEALTH; VIDEOS;
D O I
10.1371/journal.pone.0318568
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The objective of this research was to assess the accuracy, quality, content, and demographics of videos on YouTube concerning deep margin elevation (DME). Initially, 100 videos for each of the three keywords were analyzed. The content categories of these videos were diverse, encompassing educational materials, teaching techniques, advertisements, and other types of content. The evaluation of the videos was carried out based on the Global Quality Scale (GQS), the Journal of the American Medical Association (JAMA) benchmark, and the modified-DISCERN questionnaire (m-DISCERN). Non-distributed data were analyzed using the Kruskal Wallis test and the Spearman correlation coefficient. The JAMA score was 1 for four videos, 2-3 for 38, and 4 for 14 videos; the GQS score was 1-2 for 18 videos, 3 for 11 videos, and 4-5 for 27 videos; and the m-DISCERN score was < 3 for 39 videos, 3 for four videos, and > 3 for 13 (for a total of 56 videos). Statistically significant differences were observed only for the JAMA scores when comparing the video source groups (p = 0.001). There were significant positive correlations between the GQS and m-DISCERN and m-DISCERN and JAMA scores (p < 0.001 and p = 0.049, respectively). The findings indicated that YouTube videos related to DME generally exhibited high-quality content but only moderate accuracy and poor reliability.
引用
收藏
页数:17
相关论文
共 43 条
  • [41] Fibromyalgia in social media: content and quality of the information analysis of videos on the YouTube platform
    Macedo, Caik C.
    Figueiredo, Pedro H. S.
    Goncalves, Nelcilaine R. B.
    Afonso, Clarita A.
    Martins, Rosana M.
    Santos, Jousielle M.
    Gaiad, Thais P.
    Sanudo, Borja
    Oliveira, Vinicius C.
    Mendonca, Vanessa A.
    Lacerda, Ana Cristina R.
    INFORMATICS FOR HEALTH & SOCIAL CARE, 2022, 47 (03) : 305 - 316
  • [42] Temporomandibular disorders-related videos on YouTube are unreliable sources of medical information: A cross-sectional analysis of quality and content
    Kim, Moon Jong
    Kim, Ji Rak
    Jo, Jung Hwan
    Kim, Ju Sik
    Park, Ji Woon
    DIGITAL HEALTH, 2023, 9
  • [43] The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis
    Josey, Maria
    Gaid, Dina
    Bishop, Lisa D.
    Blackwood, Michael
    Najafizada, Maisam
    Donnan, Jennifer R.
    JMIR INFODEMIOLOGY, 2023, 3 (01):