ABSTRACT

This chapter explores the wealth of methods used in digital journalism studies, which includes some methods originating from information science and computer science. Digital journalism studies pays some attention to advancing content analysis with computational methods. Opportunities in how to accumulate and analyse data are explored not only for content analysis, but also for network analysis reflecting the increasingly networked nature of news distribution and consumption. The chapter views such advancements positively, but also raises concerns about the risk of putting too much emphasis on the possibilities offered by emerging technologies and the availability of data instead of focusing on what the important research questions are. The chapter also discussed challenges and advancements in audiences-centric digital journalism scholarship and in ethnographic approaches.