Testing Models of Data-Driven Reporting in Newspapers for Health Communication

Abstract

In the second wave of the novel corona virus pandemic, where misinformation and infodemic are at their peak, data-driven reporting acts as a solution to curb misinformation and infodemic worldwide. Therefore, it is important to analyse the newspaper coverage of the COVID-19 second wave by using models of data-driven reporting in newspapers based on purpose, relationship, data presentation, type, and structure. The objective of this research was to analyse the data-driven reporting of COVID-19 and test models of data-driven reporting in the field of health communication. This research study was based on a quantitative approach, using content analysis research method, and the tool of data collection was secondary. The unstructured sampling technique was taken into consideration which included two English national dailies of India for five consecutive days. Results of this study helped the researcher in analysing data-driven reporting of COVID-19 second wave and testifying these models in the field of health communication.