Analyzing dissemination, quality, and reliability of Chinese brain tumor-related short videos on TikTok and Bilibili: a cross-sectional study.

IF 2.7 3区医学 Q2 CLINICAL NEUROLOGY

Frontiers in Neurology Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.3389/fneur.2024.1404038

Ren Zhang, Zhiwei Zhang, Hui Jie, Yi Guo, Yi Liu, Yuan Yang, Chuan Li, Chenglin Guo

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引用次数: 0

Abstract

Background: As the Internet becomes an increasingly vital source of medical information, the quality and reliability of brain tumor-related short videos on platforms such as TikTok and Bilibili have not been adequately evaluated. Therefore, this study aims to assess these aspects and explore the factors influencing the dissemination of such videos.

Methods: A cross-sectional analysis was conducted on the top 100 brain tumor-related short videos from TikTok and Bilibili. The videos were evaluated using the Global Quality Score and the DISCERN reliability instrument. An eXtreme Gradient Boosting algorithm was utilized to predict dissemination outcomes. The videos were also categorized by content type and uploader.

Results: TikTok videos scored relatively higher on both the Global Quality Score (median 2, interquartile range [2, 3] on TikTok vs. median 2, interquartile range [1, 2] on Bilibili, p = 1.51E-04) and the DISCERN reliability instrument (median 15, interquartile range [13, 18.25] on TikTok vs. 13.5, interquartile range [11, 16] on Bilibili, p = 1.66E-04). Subgroup analysis revealed that videos uploaded by professional individuals and institutions had higher quality and reliability compared to those uploaded by non-professional entities. Videos focusing on disease knowledge exhibited the highest quality and reliability compared to other content types. The number of followers emerged as the most important variable in our dissemination prediction model.

Conclusion: The overall quality and reliability of brain tumor-related short videos on TikTok and Bilibili were unsatisfactory and did not significantly influence video dissemination. Future research should expand the scope to better understand the factors driving the dissemination of medical-themed videos.

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分析TikTok和Bilibili上中国脑肿瘤相关短视频的传播、质量和可靠性：一项横断面研究。

背景：随着互联网日益成为医疗信息的重要来源，TikTok和Bilibili等平台上与脑肿瘤相关的短视频的质量和可靠性尚未得到充分评估。因此，本研究旨在对这些方面进行评估，并探讨影响此类视频传播的因素：对 TikTok 和 Bilibili 上排名前 100 的脑肿瘤相关短视频进行了横向分析。使用全球质量得分和 DISCERN 可靠性工具对视频进行评估。使用梯度提升算法（eXtreme Gradient Boosting algorithm）预测传播结果。视频还按内容类型和上传者进行了分类：TikTok视频在全球质量得分（TikTok的中位数为2，四分位数间距为[2, 3]；Bilibili的中位数为2，四分位数间距为[1, 2]，p = 1.51E-04）和DISCERN可靠性工具（TikTok的中位数为15，四分位数间距为[13, 18.25]；Bilibili的中位数为13.5，四分位数间距为[11, 16]，p = 1.66E-04）上的得分都相对较高。分组分析显示，与非专业实体上传的视频相比，专业个人和机构上传的视频质量更高，可靠性更强。与其他内容类型相比，以疾病知识为重点的视频显示出最高的质量和可靠性。在我们的传播预测模型中，粉丝数量成为最重要的变量：结论：TikTok 和 Bilibili 上脑肿瘤相关短视频的整体质量和可靠性并不令人满意，对视频传播的影响不大。未来的研究应扩大范围，以更好地了解推动医疗主题视频传播的因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Neurology CLINICAL NEUROLOGYNEUROSCIENCES -NEUROSCIENCES

CiteScore

4.90

自引率

8.80%

发文量

2792

审稿时长

14 weeks

期刊介绍： The section Stroke aims to quickly and accurately publish important experimental, translational and clinical studies, and reviews that contribute to the knowledge of stroke, its causes, manifestations, diagnosis, and management.