网络视频平台作为青少年身体形象不满意的信息来源:一项横断面研究的内容和质量分析。

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES
Li Liu, Jianning Yang, Fengmei Tan, Huan Luo, Yanhua Chen, Xiaolei Zhao
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引用次数: 0

摘要

背景:儿童和青少年的身体形象不满是一个重要的公共卫生问题,并与许多身体和精神问题有关。包括抖音、哔哩哔哩和YouTube在内的社交媒体平台已经成为流行的健康信息来源。然而,与身体形象不满相关的内容的质量和可靠性尚未得到全面评估。目的:本研究的主要目的是检查TikTok、BiliBili和YouTube上与身体形象不满相关的视频的质量和可靠性。方法:于2024年11月在YouTube、TikTok、BiliBili上搜索关键词“身体形象不满”。视频是根据特定平台的分类过滤器收集的,包括TikTok上的“最喜欢”过滤器,以及BiliBili和YouTube上的“观看次数最多”过滤器。每个平台上的前100个视频在研究中进行了审查和筛选。在排除(1)非英文或中文、(2)重复、(3)不相关、(4)无音频或视频、(5)包含广告、(6)全球质量量表(GQS)得分为1分的视频后,最终样本包括64个视频,这是我们研究和后续发现的基础。两位审稿人(LL和JNY)筛选、选择、提取数据,并使用GQS、修改后的DISCERN (mDISCERN)评分和修改后的美国医学会杂志(mJAMA)基准标准对所有视频进行评估。统计学分析采用SPSS (version 28.0; IBM Corp .)。结果:研究共分析了64个视频,其中抖音20个,哔哩哔哩13个,YouTube 31个。涉及的视频时长中位数在TikTok上为3.01 (IQR 1.00-5.94)分钟,在BiliBili上为3.52 (IQR 2.36-5.63)分钟,在YouTube上为4.86 (IQR 3.10-6.93)分钟。相比其他两个平台,BiliBili视频获得了更高的点赞和更多的评论。大多数视频(n=40, 62%)是通过自媒体上传的。YouTube上的视频质量显示了最高的综合得分。与非专业作者上传的视频相比,专业作者上传的视频的GQS、mDISCERN和mJAMA得分明显更高。视频质量与观看次数或点赞次数之间没有明显的相关性。然而,观看次数和点赞次数呈显著正相关。此外,在mJAMA、mDISCERN和GQS评分之间发现了显著的相关性。结论:网络视频平台已成为青少年获取健康信息的重要来源。然而,视频质量与点赞和评论数量之间缺乏显著相关性,这对寻求可靠健康信息的用户构成了挑战。建议在基于网络视频平台的推荐算法中考虑健康信息视频的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Web-Based Video Platforms as Sources of Information on Body Image Dissatisfaction in Adolescents: Content and Quality Analysis of a Cross-Sectional Study.

Web-Based Video Platforms as Sources of Information on Body Image Dissatisfaction in Adolescents: Content and Quality Analysis of a Cross-Sectional Study.

Background: Body image dissatisfaction among children and adolescents is a significant public health concern and is associated with numerous physical and mental problems. Social media platforms, including TikTok, BiliBili, and YouTube, have become popular sources of health information. However, the quality and reliability of content related to body image dissatisfaction have not been comprehensively evaluated.

Objective: The primary goal of this study was to examine the quality and reliability of videos related to body image dissatisfaction on TikTok, BiliBili, and YouTube.

Methods: The keywords "body image dissatisfaction" were searched on YouTube, TikTok, and BiliBili in November 2024. Videos were collected based on platform-specific sort filters, including the filter of "Most liked" on TikTok and the filter of "Most viewed" on BiliBili and YouTube. The top 100 videos on each platform were reviewed and screened in the study. After excluding videos that were (1) not in English or Chinese, (2) duplicates, (3) irrelevant, (4) no audio or visual, (5) contained advertisements, and (6) with a Global Quality Scale (GQS) score of 1, the final sample consisted of 64 videos, which formed the basis of our research and subsequent findings. Two reviewers (LL and JNY) screened, selected, extracted data, and evaluated all videos using the GQS, the Modified DISCERN (mDISCERN) scores, and the Modified Journal of the American Medical Association (mJAMA) benchmark criteria. Statistical analysis was performed using SPSS (version 28.0; IBM Corp).

Results: In total, 64 videos were analyzed in the study, including 20 from TikTok, 13 from BiliBili, and 31 from YouTube. The median duration of the involved videos was 3.01 (IQR 1.00-5.94) minutes on TikTok, 3.52 (IQR 2.36-5.63) minutes on BiliBili, and 4.86 (IQR 3.10-6.93) minutes on YouTube. Compared with the other 2 platforms, BiliBili videos received higher likes and more comments. The majority of the videos (n=40, 62%) were uploaded by self-media. The quality of the videos on YouTube shows the highest overall scores. Videos uploaded by professional authors had significantly higher GQS, mDISCERN, and mJAMA scores compared to those uploaded by nonprofessionals. There was no significant correlation between video quality and the number of views or likes. However, the number of views and likes were significantly positively correlated. Furthermore, a significant correlation was found between the mJAMA, mDISCERN, and GQS scores.

Conclusions: Web-based video platforms have become an important source for adolescents to access health information. However, the lack of a significant correlation between video quality and the number of likes and comments poses a challenge for users seeking reliable health information. It is suggested that the quality of the videos on health information would be taken into consideration in the recommendation algorithm on web-based video platforms.

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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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