YouTube as a source of information about unproven drugs for Covid-19: The role of the mainstream media and recommendation algorithms in promoting misinformation

IF 0.5 Q4 COMMUNICATION Brazilian Journalism Research Pub Date : 2021-09-06 DOI:10.31235/osf.io/27h9e
F. Soares, Igor Salgueiro, Carolina Bonoto, O. Vinhas
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Abstract

In this study, we address how YouTube videos promote misinformation about the unproven drugs for Covid-19 hydroxychloroquine and chloroquine in Brazil. Furthermore, we explore how YouTube’s recommendation system might fuel information crises. We follow two research questions. RQ1: How is pro-hydroxychloroquine content propagated on YouTube? RQ2: How does YouTube’s recommendation system suggest videos about hydroxychloroquine on the platform? We use mixed methods to explore a dataset of 751 videos collected via the YouTube API v3. We use content analysis to categorize the videos according to the content and the type of channel. We use social network analysis to explore a network based on YouTube’s recommendation of videos. We found that the majority of pro-HCQ YouTube videos in our dataset are posted by the mainstream media, most of which reproduce content from free-to-air television channels (RQ1). We also identified a tendency of homophily in the recommendations among pro-HCQ videos and that YouTube was more likely to recommend pro-HCQ videos than anti-HCQ videos (RQ2). The main contribution of our study is the identification of how the Brazilian mainstream media and YouTube’s algorithms fueled the spread of pro-HCQ content.
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YouTube作为新冠肺炎未经证实药物的信息来源:主流媒体和推荐算法在传播错误信息中的作用
在这项研究中,我们讨论了YouTube视频如何在巴西传播关于未经证实的新冠肺炎羟氯喹和氯喹药物的错误信息。此外,我们还探讨了YouTube的推荐系统可能如何引发信息危机。我们遵循两个研究问题。RQ1:亲羟氯喹的内容是如何在YouTube上传播的?RQ2:YouTube的推荐系统如何在平台上推荐有关羟氯喹的视频?我们使用混合方法来探索通过YouTube API v3收集的751个视频的数据集。我们使用内容分析根据内容和频道类型对视频进行分类。我们使用社交网络分析来探索基于YouTube视频推荐的网络。我们发现,我们数据集中的大多数支持HCQ的YouTube视频都是由主流媒体发布的,其中大多数都再现了免费电视频道(RQ1)的内容。我们还发现,在支持HCQ的视频中,推荐有同质性的倾向,YouTube更有可能推荐支持HCQ视频,而不是反HCQ视频(RQ2)。我们研究的主要贡献是确定巴西主流媒体和YouTube的算法是如何推动亲HCQ内容的传播的。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
16
审稿时长
26 weeks
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