A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts data

This dataset accompanies a cross-sectional content analysis examining the portrayal of oil pulling in short-form video content on YouTube Shorts. The study systematically analyzed 47 publicly accessible videos retrieved using the search term “oil pulling.” Each video was coded for speaker type, stance toward oil pulling, cited benefits and risks, reference to scientific evidence, engagement metrics (likes, views, duration), and content characteristics (e.g., recommendations, disclaimers, tone). The analysis is grounded in Social Cognitive Theory (SCT), with a focus on how modeled behaviors and perceived credibility of speakers influence viewers’ oral hygiene attitudes and practices. The dataset includes a structured spreadsheet listing video URLs, speaker classifications, coded variables, and summary statistics. This resource supports transparency, reproducibility, and further research on digital oral health communication, social media influence, and misinformation.

本数据集伴随一项横断面内容分析，旨在探究YouTube Shorts短视频内容中对油拔（oil pulling）的描绘。该研究对通过搜索词“oil pulling”获取的47个公开可访问视频进行了系统分析，每个视频均针对演讲者类型、对油拔的立场、提及的益处与风险、科学证据引用、互动指标（点赞量、观看量、时长）及内容特征（如推荐信息、免责声明、语气）进行编码。分析基于社会认知理论（Social Cognitive Theory, SCT），聚焦于模仿行为及演讲者可信度感知如何影响观众的口腔卫生态度与实践。数据集包含一份结构化电子表格，列出了视频URL、演讲者分类、编码变量及汇总统计数据，为数字口腔健康传播、社交媒体影响及错误信息相关研究的透明度、可重复性与进一步探索提供支持。