Rein Ben
Nancy Pritzker Laboratory, Department of Psychiatry & Behavioral Sciences, Stanford University, Palo Alto, CA 94306, USA.
Neuroscience. 2023 Oct 15;530:192-200. doi: 10.1016/j.neuroscience.2023.08.021. Epub 2023 Aug 26.
Social media has revolutionized science communication, allowing for rapid dissemination of science-related content to the public. In recent years, video platforms like TikTok and Instagram have implemented recommendation algorithms that track users' interests andsuggest personalized videos. As a result, these apps have become powerful tools for public messaging, facilitating access to audiences that are naturally curious about science. In 2020 I began uploading educational science videos to TikTok which have collectively accumulated more than 48 million views and 8 million "likes." Here I present an analysis of video metrics collected from the TikTok app for a random sampling of 150 videos, searching for factors that predict the number of views a video receives and the level of viewer engagement. Videos with higher view counts were liked and shared at higher rates and sustained viewer attention for longer. Properties like hashtags, sounds, and effects did not significantly influence video views. Interestingly, videos summarizing research papers received the highest levels of engagement, potentially reflecting high demand from lay audiences who are traditionally unable to access scientific literature. Finally, I present survey data demonstrating that 84% of users report feeling more trustful of science & scientists after following this account. Although the generalizability of these findings is limited, the results offer insights into the factors that drive video performance on TikTok and how users engage with scientific content on social media. These findings may help science communicators more effectively reach wider audiences and promote science literacy in new and innovative ways.
社交媒体彻底改变了科学传播方式,使与科学相关的内容能够迅速传播给公众。近年来,TikTok和Instagram等视频平台实施了推荐算法,这些算法会追踪用户兴趣并推荐个性化视频。因此,这些应用程序已成为公共信息传播的强大工具,便于接触到对科学天然好奇的受众。2020年,我开始在TikTok上上传科普视频,这些视频累计观看量超过4800万次,点赞数达800万次。在此,我对从TikTok应用程序中随机抽取的150个视频的相关指标进行分析,寻找能够预测视频观看量及观众参与度的因素。观看量较高的视频获得点赞和分享的比例更高,且能更长时间地吸引观众注意力。标签、音效和特效等属性对视频观看量没有显著影响。有趣的是,总结研究论文的视频获得了最高的参与度,这可能反映出普通受众对传统上无法获取的科学文献有很高的需求。最后,我展示的调查数据表明,84%的用户表示关注这个账号后对科学及科学家更有信任感。尽管这些研究结果的普遍性有限,但研究结果为推动TikTok上视频表现的因素以及用户如何在社交媒体上参与科学内容提供了见解。这些发现可能有助于科学传播者以新的创新方式更有效地触达更广泛的受众并提高科学素养。