The project has three main components: 1) Application of machine learning techniques for analysis of content about COVID-19 on social media (Twitter), 2) A content analysis of news about COVID-19 published by national newspapers, and 3) An online survey, along with modules containing survey-experiments.

The data will be collected at five waves, separated by two weeks. The ensuing data will allow the project not only to track the evolution of the agenda related to COVID-19 but also, by integrating the content data with survey data, make inferences about how media content may be related to individuals’ risk and control perceptions and health-protective behavior against COVID-19.