Understanding how online media frame issues is crucial due to their impact on
public opinion. Research on framing using natural language processing
techniques mainly focuses on specific content features in messages and neglects
their narrative elements. Also, the distinction between framing in different
sources remains an understudied problem. We address those issues and
investigate how the framing of health-related topics, such as COVID-19 and
other diseases, differs between conspiracy and mainstream websites. We
incorporate narrative information into the framing analysis by introducing a
novel frame extraction approach based on semantic graphs. We find that
health-related narratives in conspiracy media are predominantly framed in terms
of beliefs, while mainstream media tend to present them in terms of science. We
hope our work offers new ways for a more nuanced frame analysis.

我们研究了在线媒体对健康相关话题的框架，特别是在阴谋理论和主流媒体中的不同框架。我们采用了一种基于语义图的新颖框架提取方法，发现阴谋媒体中的健康相关叙述主要以信念为框架，而主流媒体则倾向于以科学为框架。我们希望我们的工作为更细致的框架分析提供新的方法。