As America undergoes a modern, civil rights movement, the reality of police brutality can no longer be disregarded by everyday voters. The Black Lives Matter movement has become ubiquitous, both in real life and in the media, after the murder of George Floyd. This moment has made way for widespread video coverage of police brutality incidents, a litany of written think pieces dissecting the long-term effectiveness of the police, and a myriad of articles discussing prospective policy actions. With a rise in coverage comes a heightened level of awareness of and conversation around this issue. We have witnessed the pervasiveness of the Black Lives Matter movement and an increasing conversation around the allocation of funding towards police departments. Change has been sparked, but which form of media has most effectively influenced the public? Seeing as one of the principal goals of police-related advocacy groups is to fulfill their vision of a properly functioning police force, including in relation to accountability and reform, it is vital to understand which medium the public is most receptive to. This study and its design serve to examine how exposure to different media regarding police brutality affects people’s opinions on Black Lives Matter, police reform policies, and similar changes. Moving forward, social movements will have a better understanding of which types of media can best target the public when trying to coalesce support around their movement.

Visualizations can be an incredibly powerful tool for communicating data. Data visualizations can summarize large data sets into one view, allow for easy comparisons between variables, and show trends or relationships in data that cannot be seen by looking at the raw data. Empirical information and by extension data visualizations are often seen as objective and honest. Unfortunately, data visualizations are susceptible to errors that may make them misleading. When visualizations are made for public audiences that do not have the statistical training or subject matter expertise to identify misleading or misrepresented data, these errors can have very negative effects. There is a good deal of research on how best to create guidelines for creating or systems for evaluating data visualizations. Many of the existing guidelines have contradicting approaches to designing visuals or they stress that best practices depend on the context. The goal of this work is to define the guidelines for making visualizations in the context of a public audience and show how context-specific guidelines can be used to effectively evaluate and critique visualizations. The guidelines created here are a starting point to show that there is a need for best practices that are specific to public media. Data visualization for the public lies at the intersection of statistics, graphic design, journalism, cognitive science, and rhetoric. Because of this, future conversations to create guidelines should include representatives of all these fields.