The spread of COVID-19 vaccine information in Arabic on YouTube: A network exposure study.
The spread of COVID-19 vaccine information in Arabic on YouTube: A network exposure study.
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YouTube 上阿拉伯语 COVID-19 疫苗信息的传播：一项网络曝光研究。
DOI：
10.1177/20552076231205714
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发表时间：
2023-01
期刊：
影响因子：
3.9
通讯作者：
Amith, Muhammad Tuan
中科院分区：
文献类型：
--
作者：
Zeid, Nour;Tang, Lu;Amith, Muhammad Tuan
阿拉伯语世界的疫苗接种率是全世界最低的。该地区越来越依赖社交媒体作为COVID-19信息的来源，再加上YouTube在中东和北非地区越来越受欢迎，这就引出了一个问题，即YouTube上有哪些COVID-19疫苗的阿拉伯语内容。鉴于该平台是英语疫苗相关错误信息的温床，本研究探讨了个人在使用基于关键字的搜索或从另一个平台从阿拉伯语反疫苗种子视频重定向到YouTube时可能在YouTube上接触到的COVID-19疫苗相关内容。2021年4月，基于YouTube的推荐，仅使用阿拉伯语创建了四个视频网络。基于阿拉伯语的亲疫苗和反疫苗关键词创建了两个搜索网络，基于阴谋论和反疫苗专家种子视频创建了两个种子网络。采用网络曝光模型对视频内容和网络结构进行检验。结果显示，与之前对YouTube英语内容的研究结果相比，用户接触到阿拉伯语反疫苗内容的机会较低。在这四个网络中，只有反疫苗专家网络有很大的可能让用户看到更多的反疫苗视频。讨论了影响。YouTube在清理和限制其平台上的阿拉伯语反疫苗内容曝光方面的努力值得赞扬，但有必要对算法功能进行持续评估。
The Arabic-speaking world had the lowest vaccine rates worldwide. The region's increasing reliance on social media as a source of COVID-19 information coupled with the increasing popularity of YouTube in the Middle East and North Africa region begs the question of what COVID-19 vaccine content is available in Arabic on YouTube. Given the platform's reputation for being a hotbed for vaccine-related misinformation in English, this study explored the COVID-19 vaccine-related content an individual is likely to be exposed to on YouTube when using keyword-based search or redirected to YouTube from another platform from an anti-vaccine seed video in Arabic. Only using the Arabic language, four networks of videos based on YouTube's recommendations were created in April 2021. Two search networks were created based on Arabic pro-vaccine and anti-vaccine keywords, and two seed networks were created from conspiracy theory and anti-vaccine expert seed videos. The network exposure model was used to examine the video contents and network structures. Results show that users had a low chance of being exposed to anti-vaccine content in Arabic compared to the results of a previous study of YouTube content in English. Of the four networks, only the anti-vaccine expert network had a significant likelihood of exposing the user to more anti-vaccine videos. Implications were discussed. YouTube deserves credit for its efforts to clean up and limit anti-vaccine content exposure in Arabic on its platform, but continuous evaluations of the algorithm functionality are warranted.
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