Toussaint Philipp A, Renner Maximilian, Lins Sebastian, Thiebes Scott, Sunyaev Ali
Department of Economics and Management Karlsruhe Institute of Technology Karlsruhe Germany.
HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe/Heidelberg Germany.
JMIR Infodemiology. 2022 Sep 15;2(2):e38749. doi: 10.2196/38749. eCollection 2022 Jul-Dec.
With direct-to-consumer (DTC) genetic testing enabling self-responsible access to novel information on ancestry, traits, or health, consumers often turn to social media for assistance and discussion. YouTube, the largest social media platform for videos, offers an abundance of DTC genetic testing-related videos. Nevertheless, user discourse in the comments sections of these videos is largely unexplored.
This study aims to address the lack of knowledge concerning user discourse in the comments sections of DTC genetic testing-related videos on YouTube by exploring topics discussed and users' attitudes toward these videos.
We employed a 3-step research approach. First, we collected metadata and comments of the 248 most viewed DTC genetic testing-related videos on YouTube. Second, we conducted topic modeling using word frequency analysis, bigram analysis, and structural topic modeling to identify topics discussed in the comments sections of those videos. Finally, we employed Bing (binary), National Research Council Canada (NRC) emotion, and 9-level sentiment analysis to identify users' attitudes toward these DTC genetic testing-related videos, as expressed in their comments.
We collected 84,082 comments from the 248 most viewed DTC genetic testing-related YouTube videos. With topic modeling, we identified 6 prevailing topics on (1) general genetic testing, (2) ancestry testing, (3) relationship testing, (4) health and trait testing, (5) ethical concerns, and (6) YouTube video reaction. Further, our sentiment analysis indicates strong positive emotions (anticipation, joy, surprise, and trust) and a neutral-to-positive attitude toward DTC genetic testing-related videos.
With this study, we demonstrate how to identify users' attitudes on DTC genetic testing by examining topics and opinions based on YouTube video comments. Shedding light on user discourse on social media, our findings suggest that users are highly interested in DTC genetic testing and related social media content. Nonetheless, with this novel market constantly evolving, service providers, content providers, or regulatory authorities may still need to adapt their services to users' interests and desires.
随着直接面向消费者(DTC)的基因检测使人们能够自主获取有关血统、特征或健康的新信息,消费者经常转向社交媒体寻求帮助和进行讨论。YouTube是最大的视频社交媒体平台,提供了大量与DTC基因检测相关的视频。然而,这些视频评论区中的用户话语在很大程度上尚未得到探索。
本研究旨在通过探索所讨论的主题以及用户对这些视频的态度,来解决关于YouTube上与DTC基因检测相关视频评论区中用户话语的知识匮乏问题。
我们采用了三步研究方法。首先,我们收集了YouTube上248个观看次数最多的与DTC基因检测相关视频的元数据和评论。其次,我们使用词频分析、二元语法分析和结构化主题建模进行主题建模,以识别这些视频评论区中讨论的主题。最后,我们采用必应(二元)、加拿大国家研究委员会(NRC)情感和九级情感分析来识别用户在评论中表达的对这些与DTC基因检测相关视频的态度。
我们从248个观看次数最多的与DTC基因检测相关的YouTube视频中收集了84,082条评论。通过主题建模,我们确定了6个主要主题,分别是(1)一般基因检测,(2)血统检测,(3)亲属关系检测,(4)健康和特征检测,(5)伦理问题,以及(6)对YouTube视频的反应。此外,我们的情感分析表明,用户对与DTC基因检测相关的视频有着强烈的积极情绪(期待、喜悦、惊讶和信任)以及中立到积极的态度。
通过本研究,我们展示了如何通过基于YouTube视频评论检查主题和观点来识别用户对DTC基因检测的态度。我们的研究结果揭示了社交媒体上的用户话语,表明用户对DTC基因检测及相关社交媒体内容高度感兴趣。尽管如此,随着这个新兴市场不断发展,服务提供商、内容提供商或监管机构可能仍需根据用户的兴趣和需求调整其服务。