The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 601 North Caroline Street, Baltimore, MD, 21287.
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 601 North Caroline Street, Baltimore, MD, 21287.
Acad Radiol. 2023 Jun;30(6):1200-1209. doi: 10.1016/j.acra.2022.06.023. Epub 2022 Jul 25.
We post several times daily on our Facebook page, CTisus, to educate radiology students and professionals globally. We aimed to determine how our data compared for different types of posts and ascertain the popularity of videos versus case images, illustrations versus case images, and whether cinematic rendering performed better than traditional computed tomography.
We exported data for one year's worth of Facebook posts (November 1, 2020 to October 31, 2021) and categorized posts into 18 types. Our primary outcome was popularity of each post, measured by "reach" and "engagement" counts provided by Facebook.
Among the 9057 posts exported, "just for fun" posts performed the best, followed by quiz images. Case images performed significantly better than instructional videos (p < 0.0001). However, the opposite was true for engagement, where instructional videos performed significantly better than case images (p = 0.0012). For both reach and engagement, case images performed better than medical illustrations (p < 0.0001). For both reach (p < 0.0005) and engagement (p < 0.0001), traditional computed tomography performed significantly better than cinematic rendering. All video types had better engagement than case images and medical illustrations (p < 0.0001) and both had significantly better engagement than text (p < 0.0001).
Our results may help other educators choose what types of content to create and post on social media to achieve the best impact on learners.
我们在 CTisus 脸书页面上每日发布多次内容，以向全球的放射科学生和专业人士提供教育。我们旨在确定我们的数据在不同类型的帖子中的表现，并确定视频与病例图像、插图与病例图像的受欢迎程度，以及电影渲染是否优于传统计算机断层扫描。
我们导出了一年的脸书帖子数据（2020 年 11 月 1 日至 2021 年 10 月 31 日），并将帖子分为 18 种类型。我们的主要结果是每个帖子的受欢迎程度，通过脸书提供的“触及”和“参与”计数来衡量。
在导出的 9057 个帖子中，“仅供娱乐”的帖子表现最好，其次是测验图片。病例图像的表现明显优于教学视频（p < 0.0001）。然而，参与度的情况则相反，教学视频的表现明显优于病例图像（p = 0.0012）。无论是触及还是参与度，病例图像的表现均优于医学插图（p < 0.0001）。对于触及和参与度，病例图像的表现均优于传统计算机断层扫描（p < 0.0005）。所有视频类型的参与度均高于病例图像和医学插图（p < 0.0001），且均明显高于文本（p < 0.0001）。
我们的结果可能有助于其他教育工作者选择要在社交媒体上创建和发布的内容类型，以实现对学习者的最佳影响。
