论文标题
一个整体框架,用于分析COVID-19疫苗辩论
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
论文作者
论文摘要
COVID-19的大流行导致低质量信息的流行病导致健康决定不良。打击这种不端流行的结果不仅是识别虚假主张的问题,而且是对个人做出的决定的推理。在这项工作中,我们提出了一个整体分析框架,将立场和理性分析以及细粒度的实体水平道德分析。我们研究了如何模拟不同分析级别之间的依赖性,并将人类的见解纳入学习过程。实验表明,我们的框架即使在低估设置中也提供了可靠的预测。
The Covid-19 pandemic has led to infodemic of low quality information leading to poor health decisions. Combating the outcomes of this infodemic is not only a question of identifying false claims, but also reasoning about the decisions individuals make. In this work we propose a holistic analysis framework connecting stance and reason analysis, and fine-grained entity level moral sentiment analysis. We study how to model the dependencies between the different level of analysis and incorporate human insights into the learning process. Experiments show that our framework provides reliable predictions even in the low-supervision settings.