论文标题
患有疫苗还是政府？ ：COVID-19疫苗不良事件覆盖范围的党派偏见
Suffering from Vaccines or from Government? : Partisan Bias in COVID-19 Vaccine Adverse Events Coverage
论文作者
论文摘要
疫苗不良事件被认为是不受政治两极分化的相对客观的措施。但是，现实世界中的数据显示了总统不赞成等级与不良事件的主观严重程度之间的相关性。本文通过语言模型调查了党派疫苗不良事件的党派偏见，这些语言模型可以对疫苗相关文章的主题进行分类和新闻评论的政治倾向。根据来自52家主要报纸公司的90k新闻报道，我们发现保守派媒体倾向于比自由派更频繁地报告不良事件，而覆盖范围本身在统计上与现实世界中的不良事件的严重性无关。支持保守反对党的用户更有可能在新闻平台上撰写2.3k随机抽样文章的流行评论。这项研究表明，即使在大多数人口接种疫苗后，两党合作仍然可以在对共同疫苗的舆论中发挥重要作用。
Vaccine adverse events have been presumed to be a relatively objective measure that is immune to political polarization. The real-world data, however, shows the correlation between presidential disapproval ratings and the subjective severity of adverse events. This paper investigates the partisan bias in COVID vaccine adverse events coverage with language models that can classify the topic of vaccine-related articles and the political disposition of news comments. Based on 90K news articles from 52 major newspaper companies, we found that conservative media are inclined to report adverse events more frequently than their liberal counterparts, while the coverage itself was statistically uncorrelated with the severity of real-world adverse events. The users who support the conservative opposing party were more likely to write the popular comments from 2.3K random sampled articles on news platforms. This research implies that bipartisanship can still play a significant role in forming public opinion on the COVID vaccine even after the majority of the population's vaccination
