Behavior analysis of pandemic source media communications

Abstract

We aim to collect and analyze source media top stories and investigate the patterns of health communication change in this ongoing COVID-19 worldwide crisis. We explore the influence of source messages in mass media communications. The pandemic is exposing dramatic behavioral changes requiring immediate reflection. With various measures such as: lockdowns, mask wearing and social distancing in place, it becomes essential to focus on the impact and effect of mass media. We use SiloBreaker dashboard to collect top stories since the pandemic's early outbreak. Techniques like tf-idf, topic modeling and LDA Emotion Analysis, assist in producing useful information about the significant impact of mass media on source messaging change.