Department of Plastic Surgery, University of Kansas Medical Center, Kansas City, KS, USA.
University of Kansas School of Medicine, Kansas City, KS, USA.
Aesthet Surg J. 2021 Oct 15;41(11):1323-1332. doi: 10.1093/asj/sjab185.
Plastic surgeons and patients increasingly use social media. Despite evidence implicating its importance in plastic surgery, the large volume of data has made social media difficult to study.
The aim of this study was to provide a comprehensive assessment of plastic surgery social media content worldwide by utilizing techniques for analyzing large-scale data.
The hashtag "#PlasticSurgery" was used to search public Instagram posts. Metadata were collected from posts between December 2018 and August 2020. In addition to descriptive analysis, 2 instruments were created to characterize textual data: a multilingual dictionary of procedural hashtags and a rule-based text classification model to categorize the source of the post.
Plastic surgery content yielded more than 2 million posts, 369 million likes, and 6 billion views globally over the 21-month study. The United States had the most posts of 182 countries studied (26.8%, 566,206). Various other regions had substantial presence including Istanbul, Turkey, which led all cities (4.8%, 102,208). The classification model achieved high accuracy (94.9%) and strong agreement with independent raters (κ = 0.88). Providers accounted for 40% of all posts (847,356) and included the categories physician (28%), plastic surgery (9%), advanced practice practitioners and nurses (1.6%), facial plastics (1.3%), and oculoplastics (0.2%). Content between plastic surgery and non-plastic surgery groups demonstrated high textual similarity, and only 1.4% of posts had a verified source.
Plastic surgery content has immense global reach in social media. Textual similarity between groups coupled with the lack of an effective verification mechanism presents challenges in discerning the source and veracity of information.
整形外科医生和患者越来越多地使用社交媒体。尽管有证据表明社交媒体在整形外科中很重要,但大量的数据使得社交媒体难以研究。
本研究旨在利用分析大规模数据的技术,对全球范围内的整形外科社交媒体内容进行全面评估。
使用“#PlasticSurgery”标签搜索公共 Instagram 帖子。从 2018 年 12 月至 2020 年 8 月期间发布的帖子中收集元数据。除了描述性分析外,还创建了 2 种工具来描述文本数据:一个多语言程序标签字典和一个基于规则的文本分类模型,用于对帖子来源进行分类。
在 21 个月的研究中,全球范围内的整形外科内容产生了超过 200 万条帖子、3.69 亿个赞和 60 亿次浏览。在研究的 182 个国家中,美国的帖子数量最多(26.8%,566,206 条)。其他地区也有大量存在,包括土耳其伊斯坦布尔,该市在所有城市中排名第一(4.8%,102,208 条)。分类模型的准确率很高(94.9%),与独立评估者的一致性也很强(κ=0.88)。提供者占所有帖子的 40%(847,356 条),包括医生(28%)、整形外科医生(9%)、高级实践从业者和护士(1.6%)、面部整形医生(1.3%)和眼整形医生(0.2%)。整形外科和非整形外科组之间的内容显示出很高的文本相似性,只有 1.4%的帖子有经过验证的来源。
整形外科内容在社交媒体上具有巨大的全球影响力。群体之间的文本相似性以及缺乏有效的验证机制,给辨别信息的来源和真实性带来了挑战。