In recent years, much attention has been drawn to the social and cultural identities of journalists, and the ways in which those identities are often quite different from those of the audiences those journalists cover. From race and gender to education level and economic class, audiences and even the news organizations are looking for data to help them put stories into perspective. For this project, students will focus on the design of a system which could help track and convey this information. They will research how underrepresented communities perceive different news organizations as well as what people in the field of journalism have already been exploring in this area. They will identify key identity types or other traits that advance this understanding; they will explore what it would take to gather and sustain a database like this; and, they will explore and test multiple data visualization concepts to see which are the most effective for making sense of the data. If students identify promising paths to building and sustaining a tool like this, Knight Lab is interested in the future possibility of developing this into an ongoing public project.
Students who participate in this project will have the opportunity to consider many perspectives on the value of and challenges to building newsrooms which “look like” the audiences they are trying to serve. They will practice iterative, experimental data visualization development. They may set the groundwork for future Knight Lab work, and possibly a plan for a publicly available resource addressing the problems we’re exploring on this project.