TY - JOUR AU - Yoon, Ho Young AU - You, Kyung Han AU - Kwon, Jung Hye AU - Kim, Jung Sun AU - Rha, Sun Young AU - Chang, Yoon Jung AU - Lee, Sang-Cheol PY - 2022 DA - 2022/11/14 TI -了解YouTube上癌症错误信息传播的社会机制及经验教训:信息流行病学研究JO - J Med Internet Res SP - e39571 VL - 24 IS - 11 KW -癌症错误信息KW -社交媒体健康错误信息KW -芬苯达唑KW -自我管理KW -复杂传染KW - YouTube KW -社交媒体事实信息传递策略AB -背景:应对社交媒体癌症错误信息的行动清单与行动计划之间存在知识差距。很少有人关注社交媒体策略，以传播事实信息，同时破坏社交媒体网络上的错误信息。目的:本研究的目的是，首先，确定YouTube上癌症错误信息的传播结构。我们提出了这样一个问题:“YouTube视频如何在传播关于狗狗自我使用驱虫药作为人类抗癌药物的信息方面发挥重要作用?”其次，本研究旨在通过利用YouTube信息流和推荐系统的网络逻辑，提出一种破坏YouTube上错误信息传播的行动策略。我们提出了这样一个问题:“阻止癌症错误信息在YouTube上传播的可行而有效的策略是什么?”方法:本研究利用YouTube上的韩国狗自行给药驱虫药作为替代癌症药物的案例。我们收集了韩国YouTube上有关芬苯达唑自我服用的视频。使用YouTube应用程序编程接口查询“芬苯达唑”，编译了来自227个频道的702个视频。 Then, videos with at least 50,000 views, uploaded between September 2019 and September 2020, were selected from the collection, resulting in 90 videos. Finally, 10 recommended videos for each of the 90 videos were compiled, totaling 573 videos. Social network visualization for the recommended videos was used to identify three intervention strategies for disrupting the YouTube misinformation network. Results: The study found evidence of complex contagion by human and machine recommendation systems. By exposing stakeholders to multiple information sources on fenbendazole self-administration and by linking them through a recommendation algorithm, YouTube has become the perfect infrastructure for reinforcing the belief that fenbendazole can cure cancer, despite government warnings about the risks and dangers of self-administration. Conclusions: Health authorities should upload pertinent information through multiple channels and should exploit the existing YouTube recommendation algorithm to disrupt the misinformation network. Considering the viewing habits of patients and caregivers, the direct use of YouTube hospital channels is more effective than the indirect use of YouTube news media channels or government channels that report public announcements and statements. Reinforcing through multiple channels is the key. SN - 1438-8871 UR - //www.mybigtv.com/2022/11/e39571 UR - https://doi.org/10.2196/39571 UR - http://www.ncbi.nlm.nih.gov/pubmed/36374534 DO - 10.2196/39571 ID - info:doi/10.2196/39571 ER -