Abstract

Sports are data-driven: individual performances are measured using statistics and teams leverage data analytics to outperform competition. Sports media-which is created by media outlets, teams, and individuals-engage its consumers by creating narratives about the sport, teams, and players. Due to the importance of data in the sports world, data visualizations are a pillar in the sports media landscape. These data visualizations, while appearing to accurately convey data to its consumers, can be misinformative; media creators often have incentives to present specific narratives which don't always fit the data. This work contributes to an existing misinformative data visualization taxonomy. In doing so, it makes it easier to understand the techniques and design choices used to create misinformative visualizations in all domains, not only in sports media.