Karami Amir, Anderson Mackenzie
School of Information Science University of South Carolina Columbia South Carolina USA.
Proc Assoc Inf Sci Technol. 2020;57(1):e349. doi: 10.1002/pra2.349. Epub 2020 Oct 22.
Social media has become a mainstream channel of communication during the COVID-19 pandemic. While some studies have been developed on investigating public opinion on social media data regarding COVID-19 pandemic, there is no study analyzing anti-quarantine comments on social media. This study has collected and analyzed near 80,000 tweets to understand anti-quarantine social comments. Using text mining, we found 11 topics representing different issues such as comparing COVID-19 and flu and health side effects of quarantine. We believe that this study shines a light on public opinion of people who are against quarantine.
社交媒体已成为新冠疫情期间的主流沟通渠道。虽然已有一些研究致力于调查社交媒体数据中关于新冠疫情的公众舆论,但尚无研究分析社交媒体上的反隔离评论。本研究收集并分析了近8万条推文,以了解反隔离的社会评论。通过文本挖掘,我们发现了11个代表不同问题的主题,如比较新冠病毒和流感以及隔离的健康副作用。我们相信这项研究揭示了反对隔离者的公众舆论。